Subramanian, Aravind

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 53,625

Initial sequencing and analysis of the human genome

International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature

Genomics and Phylogenetic StudiesGenetic Associations and Epidemiology

Cited by 24,216

PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes

Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics

Bioinformatics and Genomic NetworksMetabolism, Diabetes, and Cancer

Cited by 10,197

Molecular signatures database (MSigDB) 3.0

Liberzon, A., Subramanian, A., Pinchback, R., Thorvaldsdóttir, H., Tamayo, P., & Mesirov, J. P. (2011) · Bioinformatics

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 7,111

The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease

Lamb, J., Crawford, E. D., Peck, D., Modell, J. W., Blat, I. C., Wrobel, M. J., Lerner, J., Brunet, J.-P., Subramanian, A., Ross, K. N., et al. (2006) · Science

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 5,257

A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles

Subramanian, A., Narayan, R., Corsello, S. M., Peck, D. D., Natoli, T. E., Lu, X., Gould, J., Davis, J. F., Tubelli, A. A., Asiedu, J. K., et al. (2017) · Cell

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 3,515

Densely Interconnected Transcriptional Circuits Control Cell States in Human Hematopoiesis

Novershtern, N., Subramanian, A., Lawton, L. N., Mak, R. H., Haining, W. N., McConkey, M. E., Habib, N., Yosef, N., Chang, C. Y., Shay, T., et al. (2011) · Cell

Genomics and Chromatin DynamicsGene Regulatory Network Analysis

Cited by 942

Discovering the anticancer potential of non-oncology drugs by systematic viability profiling

Corsello, S. M., Nagari, R. T., Spangler, R. D., Rossen, J., Kocak, M., Bryan, J. G., Humeidi, R., Peck, D., Wu, X., Tang, A. A., et al. (2020) · Nature Cancer

Computational Drug Discovery MethodsCancer Cells and Metastasis

Cited by 878

The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations

Keenan, A. B., Jenkins, S. L., Jagodnik, K. M., Koplev, S., He, E., Torre, D., Wang, Z., Dohlman, A. B., Silverstein, M. C., Lachmann, A., et al. (2018) · Cell Systems

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 423

An oncogenic KRAS2 expression signature identified by cross-species gene-expression analysis.

Sweet-Cordero, A., Mukherjee, S., Subramanian, A., You, H., Roix, J. J., Ladd-Acosta, C., Mesirov, J., Golub, T. R., & Jacks, T. (2005) · Nature Genetics

Protein Kinase Regulation and GTPase SignalingCancer Genomics and Diagnostics

Cited by 414

Perturbational profiling of nanomaterial biologic activity

Shaw, S. Y., Westly, E. C., Pittet, M. J., Subramanian, A., Schreiber, S. L., & Weissleder, R. (2008) · Proceedings of the National Academy of Sciences

Nanoparticles: synthesis and applicationsImmunotoxicology and immune responses

Cited by 248

Toward performance-diverse small-molecule libraries for cell-based phenotypic screening using multiplexed high-dimensional profiling

Wawer, M. J., Li, K., Gustafsdottir, S. M., Ljosa, V., Bodycombe, N. E., Marton, M. A., Sokolnicki, K. L., Bray, M.-A., Kemp, M. M., Winchester, E., et al. (2014) · Proceedings of the National Academy of Sciences

Computational Drug Discovery MethodsCell Image Analysis Techniques

Cited by 196

A Multi-center Study on the Reproducibility of Drug-Response Assays in Mammalian Cell Lines

Niepel, M., Hafner, M., Mills, C. E., Subramanian, K., Williams, E. H., Chung, M., Gaudio, B., Barrette, A. M., Stern, A. D., Hu, B., et al. (2019) · Cell Systems

Scientific Computing and Data ManagementAnimal testing and alternatives

Cited by 133