The DOI matches its OpenAlex record; 13 of the 13 references it cites were found in a registry or an index.
Matrix eQTL: Ultra fast eQTL analysis via large matrix operations
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PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
R/qtl: QTL mapping in experimental crosses
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Merlin—rapid analysis of dense genetic maps using sparse gene flow trees
Abecasis, G. R., Cherny, S. S., Cookson, W. O., & Cardon, L. R. (2002) · Nature Genetics · doi:10.1038/ng786 · Cited by 3,354
Gaussian elimination is not optimal
Strassen, V. (1969) · Numerische Mathematik · doi:10.1007/bf02165411 · Cited by 2,509
Revealing the architecture of gene regulation: the promise of eQTL studies
Gilad, Y., Rifkin, S. A., & Pritchard, J. K. (2008) · Trends in Genetics · doi:10.1016/j.tig.2008.06.001 · Cited by 544
Minimizing development and maintenance costs in supporting persistently optimized BLAS
Whaley, R. C., & Petitet, A. (2005) · Software: Practice and Experience · doi:10.1002/spe.626 · Cited by 254
Genetical Genomics: Spotlight on QTL Hotspots
Breitling, R., Li, Y., Tesson, B. M., Fu, J., Wu, C., Wiltshire, T., Gerrits, A., Bystrykh, L. V., de Haan, G., Su, A. I., et al. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000232 · Cited by 192
Correction for hidden confounders in the genetic analysis of gene expression
Listgarten, J., Kadie, C. M., Schadt, E. E., & Heckerman, D. E. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002425107 · Cited by 145
A review of statistical methods for expression quantitative trait loci mapping
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High-Resolution Mapping of Gene Expression Using Association in an Outbred Mouse Stock
Ghazalpour, A., Doss, S., Kang, H. M., Farber, C. R., Wen, P.-Z., Brozell, A., Rivera, R. M. C., Eskin, E., Smith, D., Drake, T. A., et al. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000149 · Cited by 53
Cited by
Genetic effects on gene expression across human tissues
GTEx Consortium (2017) · Nature · doi:10.1038/nature24277 · Cited by 4,036
A survey of best practices for RNA-seq data analysis
Conesa, A., Madrigal, P., Tarazona, S., Gomez-Cabrero, D., Cervera, A., McPherson, A., Szcześniak, M. W., Gaffney, D. J., Elo, L. L., Zhang, X., et al. (2016) · Genome Biology · doi:10.1186/s13059-016-0881-8 · Cited by 2,794
Multiplexed droplet single-cell RNA-sequencing using natural genetic variation
Kang, H. M., Subramaniam, M., Targ, S., Nguyen, M., Maliskova, L., McCarthy, E., Wan, E., Wong, S., Byrnes, L., Lanata, C. M., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4042 · Cited by 1,101
Lin, Y.-T., Seo, J., Gao, F., Feldman, H. M., Wen, H.-L., Penney, J., Cam, H. P., Gjoneska, E., Raja, W. K., Cheng, J., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.008 · Cited by 1,125
Methods of integrating data to uncover genotype-phenotype interactions
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Metadata
- Authors
- Shabalin, A. A.
- Venue
- arXiv (Cornell University)
- Publisher
- Cornell University
- Published
- 2011-05-29
- ISSN
- 2331-8422 (ISSN-L)
- OpenAlex
- W2950718985
- Cited by
- 452
- References
- 13
- Type
- posted content
- Language
- en
- Open access
- green
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- Shabalin, A. A. (2011). Matrix eQTL: Ultra fast eQTL analysis via large matrix operations. arXiv (Cornell University). https://doi.org/10.17615/g28n-r219
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.