Leek, Jeffrey T.
17 papers on CoChatORCID 0000-0002-2873-2671
Most cited papers
- Verified
The <tt>sva</tt> package for removing batch effects and other unwanted variation in high-throughput experiments
Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics
Gene expression and cancer classificationSingle-cell and spatial transcriptomics
Cited by 6,231
- Verified
Tackling the widespread and critical impact of batch effects in high-throughput data
Leek, J. T., Scharpf, R. B., Bravo, H. C., Simcha, D., Langmead, B., Johnson, W. E., Geman, D., Baggerly, K., & Irizarry, R. A. (2010) · Nature Reviews Genetics
Gene expression and cancer classificationBioinformatics and Genomic Networks
Cited by 2,196
- Verified
Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis
Leek, J. T., & Storey, J. D. (2007) · PLoS Genetics
Gene expression and cancer classificationBioinformatics and Genomic Networks
Cited by 1,930
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Temporal dynamics and genetic control of transcription in the human prefrontal cortex
Colantuoni, C., Lipska, B. K., Ye, T., Hyde, T. M., Tao, R., Leek, J. T., Colantuoni, E. A., Elkahloun, A. G., Herman, M. M., Weinberger, D. R., et al. (2011) · Nature
Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics
Cited by 685
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Transparency and reproducibility in artificial intelligence
Haibe-Kains, B., Adam, G. A., Hosny, A., Khodakarami, F., Massive Analysis Quality Control (MAQC) Society Board of Directors, Shraddha, T., Kusko, R., Sansone, S.-A., Tong, W., Wolfinger, R. D., et al. (2020) · Nature
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 540
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Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis
The BrainSeq Consortium, Jaffe, A. E., Straub, R. E., Shin, J. H., Tao, R., Gao, Y., Collado-Torres, L., Kam-Thong, T., Xi, H. S., Quan, J., et al. (2018) · Nature Neuroscience
Schizophrenia research and treatmentGenetic Associations and Epidemiology
Cited by 364
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Polyester : simulating RNA-seq datasets with differential transcript expression
Frazee, A. C., Jaffe, A. E., Langmead, B., & Leek, J. T. (2015) · Bioinformatics
Genomics and Phylogenetic StudiesGene expression and cancer classification
Cited by 313
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What Should Researchers Expect When They Replicate Studies? A Statistical View of Replicability in Psychological Science
Patil, P., Peng, R. D., & Leek, J. T. (2016) · Perspectives on Psychological Science
Meta-analysis and systematic reviewsPsychology Research and Bibliometrics
Cited by 243
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Sequencing technology does not eliminate biological variability
Hansen, K. D., Wu, Z., Irizarry, R. A., & Leek, J. T. (2011) · Nature Biotechnology
Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics
Cited by 226
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An estimate of the science-wise false discovery rate and application to the top medical literature
Jager, L. R., & Leek, J. T. (2014) · Biostatistics
Meta-analysis and systematic reviewsscientometrics and bibliometrics research
Cited by 179
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Developmental regulation of human cortex transcription and its clinical relevance at single base resolution
Jaffe, A. E., Shin, J., Collado-Torres, L., Leek, J. T., Tao, R., Li, C., Gao, Y., Jia, Y., Maher, B. J., Hyde, T. M., et al. (2015) · Nature Neuroscience
Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics
Cited by 156
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Evolution of cellular morpho-phenotypes in cancer metastasis.
Wu, P.-H., Phillip, J. M., Khatau, S. B., Chen, W.-C., Stirman, J., Rosseel, S., Tschudi, K., Van Patten, J., Wong, M., Gupta, S., et al. (2015) · Scientific Reports
Cell Image Analysis TechniquesCancer Cells and Metastasis
Cited by 117
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qSVA framework for RNA quality correction in differential expression analysis
Jaffe, A. E., Tao, R., Norris, A. L., Kealhofer, M., Nellore, A., Shin, J. H., Kim, D., Jia, Y., Hyde, T. M., Kleinman, J. E., et al. (2017) · Proceedings of the National Academy of Sciences
Gene expression and cancer classificationSingle-cell and spatial transcriptomics
Cited by 114
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The practical effect of batch on genomic prediction
Parker, H. S., & Leek, J. T. (2012) · Statistical Applications in Genetics and Molecular Biology
Gene expression and cancer classificationBioinformatics and Genomic Networks
Cited by 34
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Gene and protein expression in human megakaryocytes derived from induced pluripotent stem cells
Kammers, K., Taub, M. A., Mathias, R. A., Yanek, L. R., Kanchan, K., Venkatraman, V., Sundararaman, N., Martin, J., Liu, S., Hoyle, D., et al. (2021) · Journal of Thrombosis and Haemostasis
Platelet Disorders and TreatmentsPluripotent Stem Cells Research
Cited by 10
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A glass half full interpretation of the replicability of psychological science
Leek, J. T., Patil, P., & Peng, R. D. (2015) · arXiv
Meta-analysis and systematic reviewsPsychology Research and Bibliometrics
Cited by 1
- Verified
Do We Really Even Need Data?
Hoffman, K., Salerno, S., Afiaz, A., Leek, J. T., & McCormick, T. H. (2024) · arXiv
Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference
Cited by 0
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