R: A Language for Data Analysis and Graphics

clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters

Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259

Array programming with NumPy

Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N. J., et al. (2020) · Nature · doi:10.1038/s41586-020-2649-2 · Cited by 23,826

APE: analyses of phylogenetics and evolution in R language

Paradis, E., Claude, J., & Strimmer, K. (2004) · Bioinformatics · doi:10.1093/bioinformatics/btg412 · Cited by 11,335

The Perseus computational platform for comprehensive analysis of (prote)omics data

Tyanova, S., Temu, T., Sinitcyn, P., Carlson, A., Hein, M. Y., Geiger, T., Mann, M., & Cox, J. (2016) · Nature Methods · doi:10.1038/nmeth.3901 · Cited by 8,803

A General Framework for Weighted Gene Co-Expression Network Analysis

Zhang, B., & Horvath, S. (2005) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1128 · Cited by 5,684

Julia: A Fresh Approach to Numerical Computing

Bezanson, J., Edelman, A., Karpinski, S., & Shah, V. B. (2017) · SIAM Review · doi:10.1137/141000671 · Cited by 5,440

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

Chicco, D., Warrens, M. J., & Jurman, G. (2021) · PeerJ Computer Science · doi:10.7717/peerj-cs.623 · Cited by 5,380

The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets

Saito, T., & Rehmsmeier, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0118432 · Cited by 5,309

The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants

KLEPEIS, N. E., NELSON, W. C., OTT, W. R., ROBINSON, J. P., TSANG, A. M., SWITZER, P., BEHAR, J. V., HERN, S. C., & ENGELMANN, W. H. (2001) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/sj.jea.7500165 · Cited by 4,803

Generalized additive models for location, scale and shape.

Rigby, R. A., & Stasinopoulos, D. M. (2005) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/j.1467-9876.2005.00510.x · Cited by 3,228

Approximate Bayesian computation in population genetics

Beaumont, M. A., Zhang, W., & Balding, D. J. (2002) · Genetics · doi:10.1093/genetics/162.4.2025 · Cited by 2,932

Distinct Sets of Genetic Alterations in Melanoma

Curtin, J. A., Fridlyand, J., Kageshita, T., Patel, H. N., Busam, K. J., Kutzner, H., Cho, K.-H., Aiba, S., Bröcker, E.-B., LeBoit, P. E., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050092 · Cited by 2,747

Variable Selection for Propensity Score Models

Brookhart, M. A., Schneeweiss, S., Rothman, K. J., Glynn, R. J., Avorn, J., & Stürmer, T. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwj149 · Cited by 2,336

Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis

Chang, T.-C., Wentzel, E. A., Kent, O. A., Ramachandran, K., Mullendore, M., Lee, K. H., Feldmann, G., Yamakuchi, M., Ferlito, M., Lowenstein, C. J., et al. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.05.010 · Cited by 2,010

Antibiotics in early life alter the murine colonic microbiome and adiposity

Cho, I., Yamanishi, S., Cox, L., Methé, B. A., Zavadil, J., Li, K., Gao, Z., Mahana, D., Raju, K., Teitler, I., et al. (2012) · Nature · doi:10.1038/nature11400 · Cited by 1,613

Specific effects of microRNAs on the plant transcriptome

Schwab, R., Palatnik, J. F., Riester, M., Schommer, C., Schmid, M., & Weigel, D. (2005) · Developmental Cell · doi:10.1016/j.devcel.2005.01.018 · Cited by 1,467

Propensity score estimation with boosted regression for evaluating causal effects in observational studies

McCaffrey, D. F., Ridgeway, G., & Morral, A. R. (2004) · Psychological Methods · doi:10.1037/1082-989x.9.4.403 · Cited by 1,317

Relief-based feature selection: Introduction and review

Urbanowicz, R. J., Meeker, M., La Cava, W., Olson, R. S., & Moore, J. H. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.07.014 · Cited by 1,311

Dynamics of the human gut microbiome in inflammatory bowel disease

Halfvarson, J., Brislawn, C. J., Lamendella, R., Vázquez-Baeza, Y., Walters, W. A., Bramer, L. M., D'Amato, M., Bonfiglio, F., McDonald, D., Gonzalez, A., et al. (2017) · Nature Microbiology · doi:10.1038/nmicrobiol.2017.4 · Cited by 1,204

Multiple Comparisons Using R

Bretz, F., Hothorn, T., & Westfall, P. (2016) · doi:10.1201/9781420010909 · Cited by 1,233

PET Imaging of Tau Deposition in the Aging Human Brain

Schöll, M., Lockhart, S. N., Schonhaut, D. R., O’Neil, J. P., Janabi, M., Ossenkoppele, R., Baker, S. L., Vogel, J. W., Faria, J., Schwimmer, H. D., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.028 · Cited by 1,214

Hallucinogens Recruit Specific Cortical 5-HT2A Receptor-Mediated Signaling Pathways to Affect Behavior

González-Maeso, J., Weisstaub, N. V., Zhou, M., Chan, P., Ivic, L., Ang, R., Lira, A., Bradley-Moore, M., Ge, Y., Zhou, Q., et al. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.008 · Cited by 925

Why highly expressed proteins evolve slowly

Drummond, D. A., Bloom, J. D., Adami, C., Wilke, C. O., & Arnold, F. H. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504070102 · Cited by 815

Mass spectrometry-based proteomics using Q Exactive, a high-performance benchtop quadrupole Orbitrap mass spectrometer

Michalski, A., Damoc, E., Hauschild, J.-P., Lange, O., Wieghaus, A., Makarov, A., Nagaraj, N., Cox, J., Mann, M., & Horning, S. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m111.011015 · Cited by 832

Large mesopelagic fishes biomass and trophic efficiency in the open ocean

Irigoien, X., Klevjer, T. A., Røstad, A., Martinez, U., Boyra, G., Acuña, J. L., Bode, A., Echevarria, F., Gonzalez-Gordillo, J. I., Hernandez-Leon, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms4271 · Cited by 813

The Interrelationship of Neuroticism, Sex, and Stressful Life Events in the Prediction of Episodes of Major Depression

Kendler, K. S., Kuhn, J., & Prescott, C. A. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.4.631 · Cited by 799

Genetic Misdiagnoses and the Potential for Health Disparities

Manrai, A. K., Funke, B. H., Rehm, H. L., Olesen, M. S., Maron, B. A., Szolovits, P., Margulies, D. M., Loscalzo, J., & Kohane, I. S. (2016) · New England Journal of Medicine · doi:10.1056/nejmsa1507092 · Cited by 808

A Protein–Protein Interaction Network for Human Inherited Ataxias and Disorders of Purkinje Cell Degeneration

Lim, J., Hao, T., Shaw, C., Patel, A. J., Szabó, G., Rual, J.-F., Fisk, C. J., Li, N., Smolyar, A., Hill, D. E., et al. (2006) · Cell · doi:10.1016/j.cell.2006.03.032 · Cited by 789

Biological interpretation of genome-wide association studies using predicted gene functions

Pers, T. H., Karjalainen, J. M., Chan, Y., Westra, H.-J., Wood, A. R., Yang, J., Lui, J. C., Vedantam, S., Gustafsson, S., Esko, T., et al. (2015) · Nature Communications · doi:10.1038/ncomms6890 · Cited by 787

Clinical Outcomes of Near-Term Infants

Wang, M. L., Dorer, D. J., Fleming, M. P., & Catlin, E. A. (2004) · Pediatrics · doi:10.1542/peds.114.2.372 · Cited by 771

Molecular and Physiological Analysis of Drought Stress in Arabidopsis Reveals Early Responses Leading to Acclimation in Plant Growth

Harb, A., Krishnan, A., Ambavaram, M. M. R., & Pereira, A. (2010) · Plant Physiology · doi:10.1104/pp.110.161752 · Cited by 747

Generation of Isogenic Pluripotent Stem Cells Differing Exclusively at Two Early Onset Parkinson Point Mutations

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

An abundance of rare functional variants in 202 drug target genes sequenced in 14,002 people

Nelson, M. R., Wegmann, D., Ehm, M. G., Kessner, D., St. Jean, P., Verzilli, C., Shen, J., Tang, Z., Bacanu, S.-A., Fraser, D., et al. (2012) · Science · doi:10.1126/science.1217876 · Cited by 647

A microfluidics-based in vitro model of the gastrointestinal human–microbe interface

Shah, P., Fritz, J. V., Glaab, E., Desai, M. S., Greenhalgh, K., Frachet, A., Niegowska, M., Estes, M., Jäger, C., Seguin-Devaux, C., et al. (2016) · Nature Communications · doi:10.1038/ncomms11535 · Cited by 660

Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer’s Disease Progression

Bai, B., Wang, X., Li, Y., Chen, P.-C., Yu, K., Dey, K. K., Yarbro, J. M., Han, X., Lutz, B. M., Rao, S., et al. (2020) · Neuron · doi:10.1016/j.neuron.2019.12.015 · Cited by 565

Complete genomic and epigenetic maps of human centromeres

Altemose, N., Logsdon, G. A., Bzikadze, A. V., Sidhwani, P., Langley, S. A., Caldas, G. V., Hoyt, S. J., Uralsky, L., Ryabov, F. D., Shew, C. J., et al. (2022) · Science · doi:10.1126/science.abl4178 · Cited by 618

Step-wise methylation of histone H3K9 positions heterochromatin at the nuclear periphery

Towbin, B. D., González-Aguilera, C., Sack, R., Gaidatzis, D., Kalck, V., Meister, P., Askjaer, P., & Gasser, S. M. (2012) · Cell · doi:10.1016/j.cell.2012.06.051 · Cited by 597

Renal cyst formation in Fh1-deficient mice is independent of the Hif/Phd pathway: roles for fumarate in KEAP1 succination and Nrf2 signaling

Adam, J., Hatipoglu, E., O'Flaherty, L., Ternette, N., Sahgal, N., Lockstone, H., Baban, D., Nye, E., Stamp, G. W., Wolhuter, K., et al. (2011) · Cancer Cell · doi:10.1016/j.ccr.2011.09.006 · Cited by 585

Aneuploidy confers quantitative proteome changes and phenotypic variation in budding yeast

Pavelka, N., Rancati, G., Zhu, J., Bradford, W. D., Saraf, A., Florens, L., Sanderson, B. W., Hattem, G. L., & Li, R. (2010) · Nature · doi:10.1038/nature09529 · Cited by 577

Hemorrhagic and Ischemic Strokes Compared: Stroke Severity, Mortality, and Risk Factors

Andersen, K. K., Olsen, T. S., Dehlendorff, C., & Kammersgaard, L. P. (2009) · Stroke · doi:10.1161/strokeaha.108.540112 · Cited by 552

Telomere Length Homeostasis Is Achieved via a Switch between Telomerase- Extendible and -Nonextendible States

Teixeira, M. T., Arneric, M., Sperisen, P., & Lingner, J. (2004) · Cell · doi:10.1016/s0092-8674(04)00334-4 · Cited by 526

Prevalence and Characteristics of Chronic Pain Among Chemically Dependent Patients in Methadone Maintenance and Residential Treatment Facilities

Rosenblum, A. (2003) · JAMA · doi:10.1001/jama.289.18.2370 · Cited by 523

Contentious relationships in phylogenomic studies can be driven by a handful of genes

Shen, X.-X., Hittinger, C. T., & Rokas, A. (2017) · Nature Ecology & Evolution · doi:10.1038/s41559-017-0126 · Cited by 520

Development of an Updated Global Land In Situ‐Based Data Set of Temperature and Precipitation Extremes: HadEX3

Dunn, R. J. H., Alexander, L. V., Donat, M. G., Zhang, X., Bador, M., Herold, N., Lippmann, T., Allan, R., Aguilar, E., Barry, A. A., et al. (2020) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2019jd032263 · Cited by 480

Investigating the impact of user trust on the adoption and use of ChatGPT: Survey analysis

Choudhury, A., & Shamszare, H. (2023) · Journal of Medical Internet Research · doi:10.2196/47184 · Cited by 470

Comparison of multiple tau-PET measures as biomarkers in aging and Alzheimer's disease

Maass, A., Landau, S., Baker, S. L., Horng, A., Lockhart, S. N., La Joie, R., Rabinovici, G. D., & Jagust, W. J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.05.058 · Cited by 462

Bioactivity-Based Molecular Networking for the Discovery of Drug Leads in Natural Product Bioassay-Guided Fractionation

Nothias, L.-F., Nothias-Esposito, M., da Silva, R., Wang, M., Protsyuk, I., Zhang, Z., Sarvepalli, A., Leyssen, P., Touboul, D., Costa, J., et al. (2018) · Journal of Natural Products · doi:10.1021/acs.jnatprod.7b00737 · Cited by 433

Postremission predictors of relapse in women with eating disorders

Keel, P. K., Dorer, D. J., Franko, D. L., Jackson, S. C., & Herzog, D. B. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.12.2263 · Cited by 417

Largest GWAS of PTSD (N=20 070) yields genetic overlap with schizophrenia and sex differences in heritability

Duncan, L. E., Ratanatharathorn, A., Aiello, A. E., Almli, L. M., Amstadter, A. B., Ashley-Koch, A. E., Baker, D. G., Beckham, J. C., Bierut, L. J., Bisson, J., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.77 · Cited by 425

Alu Elements in ANRIL Non-Coding RNA at Chromosome 9p21 Modulate Atherogenic Cell Functions through Trans-Regulation of Gene Networks

Holdt, L. M., Hoffmann, S., Sass, K., Langenberger, D., Scholz, M., Krohn, K., Finstermeier, K., Stahringer, A., Wilfert, W., Beutner, F., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003588 · Cited by 397

Predictors of Mortality in Eating Disorders

Keel, P. K., Dorer, D. J., Eddy, K. T., Franko, D., Charatan, D. L., & Herzog, D. B. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.2.179 · Cited by 396

Resistance exercise as a countermeasure to disuse-induced bone loss

Shackelford, L. C., LeBlanc, A. D., Driscoll, T. B., Evans, H. J., Rianon, N. J., Smith, S. M., Spector, E., Feeback, D. L., & Lai, D. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00741.2003 · Cited by 392

Traditional versus integrative behavioral couple therapy for significantly and chronically distressed married couples.

Christensen, A., Atkins, D. C., Berns, S., Wheeler, J., Baucom, D. H., & Simpson, L. E. (2004) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.72.2.176 · Cited by 380

Interpretation of treatment changes in 6-minute walk distance in patients with COPD

Puhan, M. A., Mador, M. J., Held, U., Goldstein, R., Guyatt, G. H., & Schünemann, H. J. (2008) · European Respiratory Journal · doi:10.1183/09031936.00140507 · Cited by 373

Peripheral blood proteins predict mortality in idiopathic pulmonary fibrosis

Richards, T. J., Kaminski, N., Baribaud, F., Flavin, S., Brodmerkel, C., Horowitz, D., Li, K., Choi, J., Vuga, L. J., Lindell, K. O., et al. (2012) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201101-0058oc · Cited by 381

Telomere shortening rate predicts species life span

Whittemore, K., Vera, E., Martínez-Nevado, E., Sanpera, C., & Blasco, M. A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902452116 · Cited by 373

The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis?

Lazic, S. E. (2010) · BMC Neuroscience · doi:10.1186/1471-2202-11-5 · Cited by 381

Peripheral blood mononuclear cell gene expression profiles predict poor outcome in idiopathic pulmonary fibrosis

Herazo-Maya, J. D., Noth, I., Duncan, S. R., Kim, S., Ma, S.-F., Tseng, G. C., Feingold, E., Juan-Guardela, B. M., Richards, T. J., Lussier, Y., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005964 · Cited by 325

The evolution of the social brain: anthropoid primates contrast with other vertebrates

Shultz, S., & Dunbar, R. I. M. (2007) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2007.0693 · Cited by 344

Group size, grooming and social cohesion in primates

Lehmann, J., Korstjens, A. H., & Dunbar, R. I. M. (2007) · Animal Behaviour · doi:10.1016/j.anbehav.2006.10.025 · Cited by 339

Phase I Study of Intraventricular Administration of Rituximab in Patients With Recurrent CNS and Intraocular Lymphoma

Rubenstein, J. L., Fridlyand, J., Abrey, L., Shen, A., Karch, J., Wang, E., Issa, S., Damon, L., Prados, M., McDermott, M., et al. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2006.09.7311 · Cited by 327

Early age of first sex: a risk factor for HIV infection among women in Zimbabwe

Pettifor, A. E., van der Straten, A., Dunbar, M. S., Shiboski, S. C., & Padian, N. S. (2004) · AIDS · doi:10.1097/01.aids.0000131338.61042.b8 · Cited by 314

Duodenal and faecal microbiota of celiac children: molecular, phenotype and metabolome characterization

Di Cagno, R., De Angelis, M., De Pasquale, I., Ndagijimana, M., Vernocchi, P., Ricciuti, P., Gagliardi, F., Laghi, L., Crecchio, C., Guerzoni, M. E., et al. (2011) · BMC Microbiology · doi:10.1186/1471-2180-11-219 · Cited by 317

Trophic control of mesopredators in terrestrial ecosystems: top‐down or bottom‐up?

Elmhagen, B., & Rushton, S. P. (2007) · Ecology Letters · doi:10.1111/j.1461-0248.2006.01010.x · Cited by 304

APC and Oncogenic KRAS Are Synergistic in Enhancing Wnt Signaling in Intestinal Tumor Formation and Progression

Janssen, K., Alberici, P., Fsihi, H., Gaspar, C., Breukel, C., Franken, P., Rosty, C., Abal, M., El Marjou, F., Smits, R., et al. (2006) · Gastroenterology · doi:10.1053/j.gastro.2006.08.011 · Cited by 298

Predicting death from tumour necrosis factor-alpha and interleukin-6 in 80-year-old people

BRUUNSGAARD, H., LADELUND, S., PEDERSEN, A. N., SCHROLL, M., JØRGENSEN, T., & PEDERSEN, B. K. (2003) · Clinical and Experimental Immunology · doi:10.1046/j.1365-2249.2003.02137.x · Cited by 300

Biomass production in switchgrass across the United States: Database description and determinants of yield

Wullschleger, S. D., Davis, E. B., Borsuk, M. E., Gunderson, C. A., & Lynd, L. R. (2010) · Agronomy Journal · doi:10.2134/agronj2010.0087 · Cited by 289

ABCB4 gene mutation-associated cholelithiasis in adults

Rosmorduc, O., Hermelin, B., Boelle, P., Parc, R., Taboury, J., & Poupon, R. (2003) · Gastroenterology · doi:10.1016/s0016-5085(03)00898-9 · Cited by 282

Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses

Quinn, K. M. (2004) · Political Analysis · doi:10.1093/pan/mph022 · Cited by 282

The CD155/TIGIT axis promotes and maintains immune evasion in neoantigen-expressing pancreatic cancer

Freed-Pastor, W. A., Lambert, L. J., Ely, Z. A., Pattada, N. B., Bhutkar, A., Eng, G., Mercer, K. L., Garcia, A. P., Lin, L., Rideout, W. M., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.07.007 · Cited by 273

BRANCHED1 Promotes Axillary Bud Dormancy in Response to Shade in Arabidopsis

González-Grandío, E., Poza-Carrión, C., Sorzano, C. O. S., & Cubas, P. (2013) · The Plant Cell · doi:10.1105/tpc.112.108480 · Cited by 272

Untitled work

(2003) · PubMed · Cited by 269

Metformin alters upper small intestinal microbiota that impact a glucose-SGLT1-sensing glucoregulatory pathway

Bauer, P. V., Duca, F. A., Waise, T. M. Z., Rasmussen, B. A., Abraham, M. A., Dranse, H. J., Puri, A., O’Brien, C. A., & Lam, T. K. T. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2017.09.019 · Cited by 265

Genomic and proteomic profiling reveals reduced mitochondrial function and disruption of the neuromuscular junction driving rat sarcopenia

Ibebunjo, C., Chick, J. M., Kendall, T., Eash, J. K., Li, C., Zhang, Y., Vickers, C., Wu, Z., Clarke, B. A., Shi, J., et al. (2013) · Molecular and Cellular Biology · doi:10.1128/mcb.01036-12 · Cited by 267

Interactive effects of MC1R and OCA2 on melanoma risk phenotypes

Duffy, D. L. (2003) · Human Molecular Genetics · doi:10.1093/hmg/ddh043 · Cited by 257

Heart rate dynamics during three forms of meditation.

Peng, C.-K., Henry, I. C., Mietus, J. E., Hausdorff, J. M., Khalsa, G., Benson, H., & Goldberger, A. L. (2004) · International Journal of Cardiology · doi:10.1016/j.ijcard.2003.02.006 · Cited by 247

A Randomized Placebo-Controlled Trial of a School-Based Depression Prevention Program

Merry, S., McDOWELL, H., Wild, C. J., Bir, J., & Cunliffe, R. (2004) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200405000-00007 · Cited by 249

Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative

Carmichael, O. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.284 · Cited by 248

EVIDENCE FOR COEVOLUTION OF SOCIALITY AND RELATIVE BRAIN SIZE IN THREE ORDERS OF MAMMALS

Pérez-Barbería, F. J., Shultz, S., & Dunbar, R. I. M. (2007) · Evolution · doi:10.1111/j.1558-5646.2007.00229.x · Cited by 241

KRAS Mutation Is Associated with Lung Metastasis in Patients with Curatively Resected Colorectal Cancer

Tie, J., Lipton, L., Desai, J., Gibbs, P., Jorissen, R. N., Christie, M., Drummond, K. J., Thomson, B. N. J., Usatoff, V., Evans, P. M., et al. (2011) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-10-1720 · Cited by 217

RosettaAntibodyDesign (RAbD): a general framework for computational antibody design

Adolf-Bryfogle, J., Kalyuzhniy, O., Kubitz, M., Weitzner, B. D., Hu, X., Adachi, Y., Schief, W. R., & Dunbrack, R. L. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006112 · Cited by 227

Accelerating antibiotic discovery through artificial intelligence

Melo, M. C. R., Maasch, J. R. M. A., & de la Fuente-Nunez, C. (2021) · Communications Biology · doi:10.1038/s42003-021-02586-0 · Cited by 234

Artifactual Insulin Release From Differentiated Embryonic Stem Cells

Hansson, M., Tonning, A., Frandsen, U., Petri, A., Rajagopal, J., Englund, M. C. O., Heller, R. S., Håkansson, J., Fleckner, J., Sköld, H. N., et al. (2004) · Diabetes · doi:10.2337/diabetes.53.10.2603 · Cited by 225

Effects of dependence in high-dimensional multiple testing problems

Kim, K. I., & van de Wiel, M. A. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-114 · Cited by 220

Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature

Grover, P., & Kar, A. K. (2017) · Global Journal of Flexible Systems Management · doi:10.1007/s40171-017-0159-3 · Cited by 219

An investigation of inbreeding depression and purging in captive pedigreed populations

Boakes, E. H., Wang, J., & Amos, W. (2007) · Heredity · doi:10.1038/sj.hdy.6800923 · Cited by 217

Integrated analysis of ultra-deep proteomes in cortex, cerebrospinal fluid and serum reveals a mitochondrial signature in Alzheimer’s disease

Wang, H., Dey, K. K., Chen, P.-C., Li, Y., Niu, M., Cho, J.-H., Wang, X., Bai, B., Jiao, Y., Chepyala, S. R., et al. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00384-6 · Cited by 210

The Transcription Factor RFX3 Directs Nodal Cilium Development and Left-Right Asymmetry Specification

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The Evolution of Cerebrotypes in Birds

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