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limma: Linear Models for Microarray Data
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“This approach accounts for both the within and between group variation when testing for differences between groups.”
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“Next, filtered read counts from all groups were normalized together by the trimmed mean of the M-values normalization method (TMM) to reduce the likelihood of unequal variances between groups [101].”
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“The limma package is a core component of Bioconductor, an R-based open-source software development project in statistical genomics (1,2).”
From limma powers differential expression analyses for RNA-sequencing and microarray studies (2015) · cites this paper as [2]
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Self-citationHuber, W., von Heydebreck, A., Sültmann, H., Poustka, A., & Vingron, M. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.suppl_1.s96 · Cited by 2,440
Identifying differentially expressed genes using false discovery rate controlling procedures
Reiner, A., Yekutieli, D., & Benjamini, Y. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btf877 · Cited by 1,765
Use of within-array replicate spots for assessing differential expression in microarray experiments
Smyth, G. K., Michaud, J., & Scott, H. S. (2005) · Computer applications in the biosciences · doi:10.1093/bioinformatics/bti270 · Cited by 1,406
Self-citationAnalysis of Messy Data, Volume I: Designed Experiments
Schmee, J., Milliken, G. A., & Johnson, D. E. (1985) · Technometrics · doi:10.2307/1270212 · Cited by 922
Statistical Issues in cDNA Microarray Data Analysis
Smyth, G. K., Yang, J. Y. H., & Speed, T. P. (2003) · Humana Press eBooks · doi:10.1385/1-59259-364-x:111 · Cited by 471
Self-citationParameter estimation for the calibration and variance stabilization of microarray data
Huber, W. K., von Heydebreck, A., Sueltmann, H., Poustka, A., & Vingron, M. (2003) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1008 · Cited by 185
Design and analysis of comparative microarray experiments
Speed, T. P. (2003) · doi:10.1201/9780203011232-9 · Cited by 67
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Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
Self-citationDifferential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
Predicting effective microRNA target sites in mammalian mRNAs
Agarwal, V., Bell, G. W., Nam, J.-W., & Bartel, D. P. (2015) · eLife · doi:10.7554/elife.05005 · Cited by 7,318
Gene ontology analysis for RNA-seq: accounting for selection bias
Young, M. D., Wakefield, M. J., Smyth, G. K., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-2-r14 · Cited by 7,107
Self-citationScenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Law, C. W., Chen, Y., Shi, W., & Smyth, G. K. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r29 · Cited by 6,155
Self-citationGEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor
Davis, S. R., & Meltzer, P. S. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm254 · Cited by 3,316
BET Bromodomain Inhibition as a Therapeutic Strategy to Target c-Myc
Delmore, J. E., Issa, G. C., Lemieux, M. E., Rahl, P. B., Shi, J., Jacobs, H. M., Kastritis, E., Gilpatrick, T., Paranal, R. M., Qi, J., et al. (2011) · Cell · doi:10.1016/j.cell.2011.08.017 · Cited by 2,888
Zheng, X., Carstens, J. L., Kim, J., Scheible, M., Kaye, J. A., Sugimoto, H., Wu, C.-C., LeBleu, V. S., & Kalluri, R. (2015) · Nature · doi:10.1038/nature16064 · Cited by 2,018
Teschendorff, A. E., Marabita, F., Lechner, M., Bartlett, T. E., Tegner, J. N., Gómez-Cabrero, D., & Beck, S. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts680 · Cited by 1,686
Enhancing CD8 T-cell memory by modulating fatty acid metabolism
Pearce, E. L., Walsh, M. C., Cejas, P. J., Harms, G. M., Shen, H., Wang, L.-S., Jones, R. G., & Choi, Y. (2009) · Nature · doi:10.1038/nature08097 · Cited by 1,559
N6-methyladenosine modification destabilizes developmental regulators in embryonic stem cells
Wang, Y., Li, Y., Toth, J. I., Petroski, M. D., Zhang, Z., & Zhao, J. C. (2014) · Nature Cell Biology · doi:10.1038/ncb2902 · Cited by 1,296
Dillies, M., Rau, A., Aubert, J., Hennequet‐Antier, C., Jeanmougin, M., Servant, N., Keime, C., Marot, G., Castel, D., Estellé, J., et al. (2012) · Briefings in Bioinformatics · doi:10.1093/bib/bbs046 · Cited by 1,363
Van Hove, H., Martens, L., Scheyltjens, I., De Vlaminck, K., Pombo Antunes, A. R., De Prijck, S., Vandamme, N., De Schepper, S., Van Isterdael, G., Scott, C. L., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0393-4 · Cited by 1,074
A data-driven approach to preprocessing Illumina 450K methylation array data
Pidsley, R., Y Wong, C. C., Volta, M., Lunnon, K., Mill, J., & Schalkwyk, L. C. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-293 · Cited by 1,143
Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
Anders, S., McCarthy, D. J., Chen, Y., Okoniewski, M. J., Smyth, G. K., Huber, W. K., & Robinson, M. D. (2013) · Nature Protocols · doi:10.1038/nprot.2013.099 · Cited by 1,170
Self-citationA novel signaling pathway impact analysis
Tarca, A. L., Draghici, S., Khatri, P., Hassan, S. S., Mittal, P., Kim, J.-S., Kim, C. J., Kusanovic, J. P., & Romero, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btn577 · Cited by 1,031
Reinius, L. E., Acevedo, N., Joerink, M., Pershagen, G., Dahlén, S., Greco, D., Söderhäll, C., Scheynius, A., & Kere, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041361 · Cited by 1,037
Early T-cell precursor leukaemia: a subtype of very high-risk acute lymphoblastic leukaemia
Coustan‐Smith, E., Mullighan, C. G., Onciu, M. M., Behm, F. G., Raimondi, S. C., Pei, D., Cheng, C., Su, X., Rubnitz, J. E., Basso, G., et al. (2009) · The Lancet Oncology · doi:10.1016/s1470-2045(08)70314-0 · Cited by 1,012
ChAMP: 450k Chip Analysis Methylation Pipeline
Morris, T. J., Butcher, L. M., Feber, A., Teschendorff, A. E., Chakravarthy, A., Wojdacz, T. K., & Beck, S. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt684 · Cited by 1,025
Apoptotic Caspases Suppress mtDNA-Induced STING-Mediated Type I IFN Production
White, M. J., McArthur, K., Metcalf, D., Lane, R. M., Cambier, J. C., Herold, M. J., van Delft, M. F., Bedoui, S., Lessene, G., Ritchie, M. E., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.036 · Cited by 983
Lovisa, S., LeBleu, V. S., Tampe, B., Sugimoto, H., Vadnagara, K., Carstens, J. L., Wu, C.-C., Hagos, Y., Burckhardt, B. C., Pentcheva‐Hoang, T., et al. (2015) · Nature Medicine · doi:10.1038/nm.3902 · Cited by 995
De novo identification of differentially methylated regions in the human genome
Peters, T. J., Buckley, M. J., Statham, A. L., Pidsley, R., Samaras, K., Lord, R. V., Clark, S. J., & Molloy, P. L. (2015) · Epigenetics & Chromatin · doi:10.1186/1756-8935-8-6 · Cited by 982
NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data
Xia, J., Gill, E. E., & Hancock, R. E. W. (2015) · Nature Protocols · doi:10.1038/nprot.2015.052 · Cited by 954
A comparison of background correction methods for two-colour microarrays
Ritchie, M. E., Silver, J., Oshlack, A., Holmes, M., Diyagama, D., Holloway, A., & Smyth, G. K. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm412 · Cited by 907
Self-citationCadwell, K., Patel, K., Maloney, N. S., Liu, T., Ng, A., Storer, C. E., Head, R. D., Xavier, R. J., Stappenbeck, T. S., & Virgin, H. W. (2010) · Cell · doi:10.1016/j.cell.2010.05.009 · Cited by 927
Camera: a competitive gene set test accounting for inter-gene correlation
Wu, D., & Smyth, G. K. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks461 · Cited by 901
Self-citationCold-induced silencing by long antisense transcripts of an Arabidopsis Polycomb target
Świeżewski, S., Liu, F., Magusin, A., & Dean, C. (2009) · Nature · doi:10.1038/nature08618 · Cited by 879
Circulating tumour DNA methylation markers for diagnosis and prognosis of hepatocellular carcinoma
Xu, R., Wei, W., Krawczyk, M., Wang, W., Luo, H., Flagg, K., Yi, S., Shi, W. T., Quan, Q., Li, K., et al. (2017) · Nature Materials · doi:10.1038/nmat4997 · Cited by 867
Ballgown bridges the gap between transcriptome assembly and expression analysis
Frazee, A. C., Pertea, G. M., Jaffe, A. E., Langmead, B., Salzberg, S. L., & Leek, J. T. (2015) · Nature Biotechnology · doi:10.1038/nbt.3172 · Cited by 866
SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips
Maksimovic, J., Gordon, L., & Oshlack, A. (2012) · Genome Biology · doi:10.1186/gb-2012-13-6-r44 · Cited by 826
Type 2 Innate Signals Stimulate Fibro/Adipogenic Progenitors to Facilitate Muscle Regeneration
Heredia, J. E., Mukundan, L., Chen, F. M., Mueller, A. A., Deo, R. C., Locksley, R. M., Rando, T. A., & Chawla, A. (2013) · Cell · doi:10.1016/j.cell.2013.02.053 · Cited by 818
Ru, Y., Kechris, K. J., Tabakoff, B., Hoffman, P. L., Radcliffe, R. A., Bowler, R. P., Mahaffey, S. B., Rossi, S., Călin, G. A., Bemis, L., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku631 · Cited by 805
BM mesenchymal stromal cell–derived exosomes facilitate multiple myeloma progression
Roccaro, A. M., Sacco, A., Maiso, P., Azab, A. K., Tai, Y., Reagan, M. R., Azab, F., Flores, L. M., Campigotto, F., Weller, E. A., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci66517 · Cited by 808
Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression
Fairfax, B. P., Humburg, P., Makino, S., Naranbhai, V., Wong, D., Lau, E., Jostins, L., Plant, K., Andrews, R., McGee, C., et al. (2014) · Science · doi:10.1126/science.1246949 · Cited by 764
Intestinal label-retaining cells are secretory precursors expressing Lgr5
Buczacki, S. J. A., Zecchini, H. I., Nicholson, A. M., Russell, R., Vermeulen, L., Kemp, R., & Winton, D. J. (2013) · Nature · doi:10.1038/nature11965 · Cited by 761
The Arabidopsis Cold-Responsive Transcriptome and Its Regulation by ICE1
Lee, B., Henderson, D., & Zhu, J. (2005) · The Plant Cell · doi:10.1105/tpc.105.035568 · Cited by 764
't Hoen, P. A. C., Ariyurek, Y., Thygesen, H. H., Vreugdenhil, E., Vossen, R. H. A. M., de Menezes, R. X., Boer, J. M., van Ommen, G.-J. B., & den Dunnen, J. T. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn705 · Cited by 742
Soldner, F., Laganière, J., Cheng, A. W., Hockemeyer, D., Gao, Q., Alagappan, R., Khurana, V., Golbe, L. I., Myers, R. H., Lindquist, S., et al. (2011) · Cell · doi:10.1016/j.cell.2011.06.019 · Cited by 728
Molecular phenomics and metagenomics of hepatic steatosis in non-diabetic obese women
Hoyles, L., Fernández-Real, J.-M., Federici, M., Serino, M., Abbott, J., Charpentier, J., Heymes, C., Luque, J. L., Anthony, E., Barton, R. H., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0061-3 · Cited by 720
Testing significance relative to a fold-change threshold is a TREAT
McCarthy, D. J., & Smyth, G. K. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp053 · Cited by 735
Self-citationVäremo, L., Nielsen, J., & Nookaew, I. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt111 · Cited by 688
Git, A., Dvinge, H., Salmon-Divon, M., Osborne, M., Kutter, C., Hadfield, J., Bertone, P., & Caldas, C. (2010) · RNA · doi:10.1261/rna.1947110 · Cited by 689
Schroeckh, V., Scherlach, K., Nützmann, H., Shelest, E., Schmidt‐Heck, W., Schuemann, J., Martin, K., Hertweck, C., & Brakhage, A. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901870106 · Cited by 662
hsa-miR-210 Is Induced by Hypoxia and Is an Independent Prognostic Factor in Breast Cancer
Camps, C., Buffa, F. M., Colella, S., Moore, J., Sotiriou, C. P., Sheldon, H., Harris, A. L., Gleadle, J., & Ragoussis, J. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-1755 · Cited by 672
Koussounadis, A., Langdon, S. P., Um, I. H., Harrison, D. J., & Smith, V. A. (2015) · Scientific Reports · doi:10.1038/srep10775 · Cited by 669
Holtman, I. R., Raj, D. D., Miller, J. A., Schaafsma, W., Yin, Z., Brouwer, N., Wes, P. D., Möller, T., Orre, M., Kamphuis, W., et al. (2015) · Acta Neuropathologica Communications · doi:10.1186/s40478-015-0203-5 · Cited by 619
A pan-cancer proteomic perspective on The Cancer Genome Atlas
Akbani, R., Ng, P. K. S., Werner, H. M. J., Shahmoradgoli, M., Zhang, F., Ju, Z., Liu, W., Yang, J.-Y., Yoshihara, K., Li, J., et al. (2014) · Nature Communications · doi:10.1038/ncomms4887 · Cited by 616
Inactivation of CDK12 Delineates a Distinct Immunogenic Class of Advanced Prostate Cancer
Wu, Y.-M., Cieslik, M. P., Lonigro, R. J., Vats, P., Reimers, M. A., Cao, X., Yu, N., Wang, L., Kunju, L. P., Sarkar, N. D., et al. (2018) · Cell · doi:10.1016/j.cell.2018.04.034 · Cited by 620
Human gut bacteria produce ΤΗ17-modulating bile acid metabolites
Paik, D., Yao, L., Zhang, Y., Bae, S., D’Agostino, G. D., Zhang, M., Kim, E., Franzosa, E. A., Avila-Pacheco, J., Bisanz, J. E., et al. (2022) · Nature · doi:10.1038/s41586-022-04480-z · Cited by 594
Yellow fever vaccine induces integrated multilineage and polyfunctional immune responses
Gaucher, D., Therrien, R., Kettaf, N., Angermann, B., Boucher, G., Filali-Mouhim, A., Moser, J. M., Mehta, R. S., Drake, D. R., Castro, E., et al. (2008) · The Journal of Experimental Medicine · doi:10.1084/jem.20082292 · Cited by 589
Abramoff MD, Magalhaes PJ, Ram SJ. 2004. Image Processing with ImageJ. Biophotonics
McLean, E. H., Boonman, A., Visser, E. J. W., Ia, A.-S., Ma, B., Kellogg, E. A., Alonso‐Blanco, C., Bentsink, L., Bailey-Serres, J. N., Fukao, T., et al. (2012) · Cited by 577
Cramer, G. R., Ergül, A., Grimplet, J., Tillett, R. L., Tattersall, E. A. R., Bohlman, M. C., Vincent, D., Sonderegger, J., Evans, J., Osborne, C., et al. (2006) · Functional & Integrative Genomics · doi:10.1007/s10142-006-0039-y · Cited by 573
Patterns of Rare and Abundant Marine Microbial Eukaryotes
Logares, R., Audic, S., Bass, D., Bittner, L., Boutte, C., Christen, R., Claverie, J., Decelle, J., Dolan, J. R., Dunthorn, M., et al. (2014) · Current Biology · doi:10.1016/j.cub.2014.02.050 · Cited by 569
van de Mortel, J. E., Almar Villanueva, L., Schat, H., Kwekkeboom, J., Coughlan, S., Moerland, P. D., Ver Loren van Themaat, E., Koornneef, M., & Aarts, M. G. M. (2006) · Plant Physiology · doi:10.1104/pp.106.082073 · Cited by 547
BET inhibitor resistance emerges from leukaemia stem cells
Fong, C. Y., Gilan, O., Lam, E. Y. N., Rubin, A. F., Ftouni, S., Tyler, D., Stanley, K., Sinha, D., Yeh, P., Morison, J., et al. (2015) · Nature · doi:10.1038/nature14888 · Cited by 545
Target analysis by integration of transcriptome and ChIP-seq data with BETA
Wang, S., Sun, H., Ma, J., Zang, C., Wang, C., Wang, J., Tang, Q., Meyer, C. A., Zhang, Y., & Liu, X. S. (2013) · Nature Protocols · doi:10.1038/nprot.2013.150 · Cited by 544
Springer, N. M., Ying, K., Fu, Y., Ji, T., Yeh, C., Jia, Y., Wu, W., Richmond, T., Kitzman, J. O., Rosenbaum, H., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000734 · Cited by 557
svaseq: removing batch effects and other unwanted noise from sequencing data
Leek, J. T. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku864 · Cited by 551
In Posidonia oceanica cadmium induces changes in DNA methylation and chromatin patterning
Greco, M., Chiappetta, A. A. C., Bruno, L., & Bitonti, M. B. (2011) · Journal of Experimental Botany · doi:10.1093/jxb/err313 · Cited by 555
Arabidopsis circadian clock protein, TOC1, is a DNA-binding transcription factor
Gendron, J. M., Pruneda-Paz, J. L., Doherty, C. J., Gross, A. M., Kang, S., & Kay, S. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1200355109 · Cited by 529
van Vught, L. A., Klouwenberg, P. M. C. K., Spitoni, C., Scicluna, B. P., Wiewel, M. A., Horn, J., Schultz, M. J., Nürnberg, P., Bonten, M. J. M., Cremer, O. L., et al. (2016) · JAMA · doi:10.1001/jama.2016.2691 · Cited by 527
PresenceAbsence : An R Package for Presence Absence Analysis
Freeman, E. A., & Moisen, G. (2008) · Journal of Statistical Software · doi:10.18637/jss.v023.i11 · Cited by 461
Shin, J., Kim, K., Kang, H., Zulfugarov, I. S., Bae, G., Lee, C.-H., Lee, D., & Choi, G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812219106 · Cited by 512
Anderson, R. C., Cookson, A. L., McNabb, W. C., Park, Z., McCann, M. J., Kelly, W. J., & Roy, N. C. (2010) · BMC Microbiology · doi:10.1186/1471-2180-10-316 · Cited by 510
Dawlaty, M. M., Ganz, K., Powell, B. E., Hu, Y.-C., Markoulaki, S., Cheng, A. W., Gao, Q., Kim, J., Choi, S.-W., Page, D. C., et al. (2011) · Cell stem cell · doi:10.1016/j.stem.2011.07.010 · Cited by 508
Selective enhancement of endothelial BMPR-II with BMP9 reverses pulmonary arterial hypertension
Long, L., Ormiston, M. L., Yang, X., Southwood, M. R., Gräf, S., Machado, R. D., Müeller, M., Kinzel, B., Yung, L., Wilkinson, J. M., et al. (2015) · Nature Medicine · doi:10.1038/nm.3877 · Cited by 532
Elliott, J. H., Wightman, F., Solomon, A. E., Ghneim, K., Ahlers, J. D., Cameron, M. J., Smith, M. Z., Spelman, T. D., McMahon, J. H., Velayudham, P., et al. (2014) · PLoS Pathogens · doi:10.1371/journal.ppat.1004473 · Cited by 500
Tuupanen, S., Turunen, M. M., Lehtonen, R., Hallikas, O. K., Vanharanta, S., Kivioja, T., Björklund, M., Wei, G., Yan, J., Niittymäki, I., et al. (2009) · Nature Genetics · doi:10.1038/ng.406 · Cited by 498
Studying and modelling dynamic biological processes using time-series gene expression data
Bar‐Joseph, Z., Gitter, A., & Simon, I. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3244 · Cited by 494
A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins
Kishore, S., Jaśkiewicz, Ł., Burger, L., Hausser, J., Khorshid, M., & Zavolan, M. (2011) · Nature Methods · doi:10.1038/nmeth.1608 · Cited by 463
Journot-Catalino, N., Somssich, I. E., Roby, D., & Kroj, T. (2006) · The Plant Cell · doi:10.1105/tpc.106.044149 · Cited by 463
beadarray: R classes and methods for Illumina bead-based data
Dunning, M., Smith, M. L., Ritchie, M. E., & Tavaré, S. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm311 · Cited by 462
De Cecco, M., Criscione, S. W., Peckham, E. J., Hillenmeyer, S., Hamm, E. A., Manivannan, J., Peterson, A. L., Kreiling, J. A., Neretti, N., & Sedivy, J. M. (2013) · Aging Cell · doi:10.1111/acel.12047 · Cited by 459
Döring, Y., Manthey, H. D., Drechsler, M. D., Lievens, D., Megens, R. T. A., Soehnlein, O., Busch, M., Manca, M., Koenen, R. R., Pelisek, J., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.046755 · Cited by 469
Wiemann, P., Sieber, C. M. K., von Bargen, K. W., Studt, L., Niehaus, E., Espino, J. J., Huß, K., Michielse, C. B., Albermann, S., Wagner, D., et al. (2013) · PLoS Pathogens · doi:10.1371/journal.ppat.1003475 · Cited by 457
A Spatio-Temporal Understanding of Growth Regulation during the Salt Stress Response in Arabidopsis
Geng, Y., Wu, R., Wee, C. W., Xie, F., Wei, X., Chan, P. M. Y., Tham, C., Duan, L., & Dinneny, J. R. (2013) · The Plant Cell · doi:10.1105/tpc.113.112896 · Cited by 456
FLOWERING LOCUS T duplication coordinates reproductive and vegetative growth in perennial poplar
Hsu, C., Adams, J. P., Kim, H.-J., No, K., Ma, C., Strauss, S. H., Drnevich, J. M., Vandervelde, L., Ellis, J. D., Rice, B., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1104713108 · Cited by 460
Xia, J., Benner, M. J., & Hancock, R. E. W. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku443 · Cited by 460
The landscape of histone modifications across 1% of the human genome in five human cell linesPreprint
Koch, C. M., Andrews, R., Flicek, P., Dillon, S. C., Karaöz, U., Clelland, G., Wilcox, S., Beare, D. M., Fowler, J. C., Couttet, P., et al. (2007) · Genome Research · doi:10.1101/gr.5704207 · Cited by 460
Reproducible RNA-seq analysis using recount2
Collado‐Torres, L., Nellore, A., Kammers, K., Ellis, S., Taub, M. A., Hansen, K. D., Jaffe, A. E., Langmead, B., & Leek, J. T. (2017) · Nature Biotechnology · doi:10.1038/nbt.3838 · Cited by 448
Induction and transcriptional regulation of the co-inhibitory gene module in T cells
Chihara, N., Madi, A., Kondo, T., Zhang, H., Acharya, N., Singer, M., Nyman, J., Marjanovic, N. D., Kowalczyk, M. S., Wang, C., et al. (2018) · Nature · doi:10.1038/s41586-018-0206-z · Cited by 438
Yang, B.-H., Hagemann, S., Mamareli, P., Lauer, U., Hoffmann, U., Beckstette, M., Föhse, L., Prinz, I., Pezoldt, J., Suerbaum, S., et al. (2015) · Mucosal Immunology · doi:10.1038/mi.2015.74 · Cited by 447
A cascade of DNA-binding proteins for sexual commitment and development in Plasmodium
Sinha, A., Hughes, K. R., Modrzynska, K., Otto, T. D., Pfander, C., Dickens, N. J., Religa, A. A., Bushell, E., Graham, A., Cameron, R., et al. (2014) · Nature · doi:10.1038/nature12970 · Cited by 435
Genome-wide expression for diagnosis of pulmonary tuberculosis: a multicohort analysis
Sweeney, T. E., Braviak, L., Tato, C. M., & Khatri, P. (2016) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(16)00048-5 · Cited by 435
Li, H., Chiappinelli, K. B., Guzzetta, A. A., Easwaran, H., Yen, R.-W. C., Vatapalli, R. J., Topper, M. J., Luo, J., Connolly, R. M., Azad, N. S., et al. (2014) · Oncotarget · doi:10.18632/oncotarget.1782 · Cited by 428
A critical developmental switch defines the kinetics of kidney cyst formation after loss of Pkd1
Piontek, K., Menezes, L. F., García-González, M. Á., Huso, D. L., & Germino, G. G. (2007) · Nature Medicine · doi:10.1038/nm1675 · Cited by 433
Costigan, M., Moss, A., Latrémolière, A., Johnston, C., Verma–Gandhu, M., Herbert, T. A., Barrett, L. B., Brenner, G. J., Vardeh, D., Woolf, C. J., et al. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4569-09.2009 · Cited by 429
Volkmar, M., Dedeurwaerder, S., Cunha, D. A., Ndlovu, M. N., Defrance, M., Deplus, R., Calonne, E., Volkmar, U., Igoillo‐Esteve, M., Naamane, N., et al. (2012) · The EMBO Journal · doi:10.1038/emboj.2011.503 · Cited by 420
Gene expression divergence recapitulates the developmental hourglass model
Kalinka, A. T., Varga, K. M., Gerrard, D. T., Preibisch, S., Corcoran, D. L., Jarrells, J., Ohler, U., Bergman, C., & Tomančák, P. (2010) · Nature · doi:10.1038/nature09634 · Cited by 415
Associations with early-life socio-economic position in adult DNA methylation
Borghol, N., Suderman, M. J., McArdle, W. L., Racine, A., Hallett, M. T., Pembrey, M. E., Hertzman, C., Power, C., & Szyf, M. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr147 · Cited by 429
Citrullination regulates pluripotency and histone H1 binding to chromatin
Christophorou, M. A., Castelo‐Branco, G., Halley‐Stott, R. P., Oliveira, C. S., Loos, R., Radzisheuskaya, A., Mowen, K. A., Bertone, P., Silva, J., Zernicka‐Goetz, M., et al. (2014) · Nature · doi:10.1038/nature12942 · Cited by 409
ROCK and JAK1 Signaling Cooperate to Control Actomyosin Contractility in Tumor Cells and Stroma
Sanz-Moreno, V., Gaggioli, C., Yeo, M., Albrengues, J., Wallberg, F., Viros, A., Hooper, S., Mitter, R., Féral, C. C., Cook, M., et al. (2011) · Cancer Cell · doi:10.1016/j.ccr.2011.06.018 · Cited by 409
Medjkane, S., Pérez-Sánchez, C., Gaggioli, C., Sahai, E. A., & Treisman, R. (2009) · Nature Cell Biology · doi:10.1038/ncb1833 · Cited by 407
Long-term forest soil warming alters microbial communities in temperate forest soils
DeAngelis, K. M., Pold, G., TopçuoÄŸlu, B. D., van Diepen, L. T. A., Varney, R., Blanchard, J. L., Melillo, J. M., & Frey, S. D. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00104 · Cited by 425
Mutant IDH1 regulates the tumor-associated immune system in gliomasPreprint
Amankulor, N., Kim, Y., Arora, S., Kargl, J., Szulzewsky, F., Hanke, M. L., Margineantu, D. H., Rao, A., Bolouri, H., Delrow, J. J., et al. (2017) · Genes & Development · doi:10.1101/gad.294991.116 · Cited by 411
MAnorm: a robust model for quantitative comparison of ChIP-Seq data sets
Shao, Z., Zhang, Y., Yuan, G., Orkin, S. H., & Waxman, D. J. (2012) · Genome biology · doi:10.1186/gb-2012-13-3-r16 · Cited by 410
Ooi, A., Wong, J.-C., Petillo, D., Roossien, D., Perrier-Trudova, V., Whitten, D., Min, B. W. H., Tan, M.-H., Zhang, Z., Yang, X. J., et al. (2011) · Cancer Cell · doi:10.1016/j.ccr.2011.08.024 · Cited by 401
Chan, Y.-S., Göke, J., Ng, J.-H., Lu, X., Gonzales, K. A. U., Tan, C.-P., Tng, W. J., Hong, Z.-Z., Lim, Y. S., & Ng, H. (2013) · Cell stem cell · doi:10.1016/j.stem.2013.11.015 · Cited by 392
Metadata
- Authors
- Smyth, G. K.
- Corresponding author
- Smyth, G. K.
- ORCID
- Smyth, G. K.
- Venue
- Statistics for Biology and Health
- Publisher
- Springer-Verlag
- Published
- 2005-12-29
- Pages
- 397-420
- OpenAlex
- W1546952499
- Cited by
- 5,796
- References
- 9
- Citations by year
- 2026: 95 · 2025: 115 · 2024: 177 · 2023: 212 · 2022: 258 · 2021: 316 · 2020: 329 · 2019: 270 · 2018: 266 · 2017: 356 · 2016: 387 · 2015: 559 · 2014: 529 · 2013: 433 · 2012: 365
- FWCI
- 195.35
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- limma, differential gene expression, microarray data, linear models, empirical Bayes, factorial design, time-course experiments, biological replication
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