Tamayo, Pablo

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

The Molecular Signatures Database Hallmark Gene Set Collection

Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 13,807

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R., Caligiuri, M. A., et al. (1999) · Science

Gene expression and cancer classificationBreast Cancer Treatment Studies

Cited by 11,516

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

Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1

Verhaak, R. G. W., Hoadley, K. A., Purdom, E., Wang, V., Qi, Y., Wilkerson, M. D., Miller, C. R., Ding, L., Golub, T., Mesirov, J. P., et al. (2010) · Cancer Cell

Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics

Cited by 7,575

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

Metagenes and molecular pattern discovery using matrix factorization

Brunet, J.-P., Tamayo, P., Golub, T. R., & Mesirov, J. P. (2004) · Proceedings of the National Academy of Sciences

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 2,183

Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data

Monti, S., Tamayo, P., Mesirov, J., & Golub, T. (2003) · Machine Learning

Gene expression and cancer classificationAdvanced Clustering Algorithms Research

Cited by 2,116

Dependency of a therapy-resistant state of cancer cells on a lipid peroxidase pathway

Viswanathan, V. S., Ryan, M. J., Dhruv, H. D., Gill, S., Eichhoff, O. M., Seashore-Ludlow, B., Kaffenberger, S. D., Eaton, J. K., Shimada, K., Aguirre, A. J., et al. (2017) · Nature

Ferroptosis and cancer prognosisCancer, Lipids, and Metabolism

Cited by 2,011

Medulloblastoma exome sequencing uncovers subtype-specific somatic mutations

Pugh, T. J., Weeraratne, S. D., Archer, T. C., Pomeranz Krummel, D. A., Auclair, D., Bochicchio, J., Carneiro, M. O., Carter, S. L., Cibulskis, K., Erlich, R. L., et al. (2012) · Nature

Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics

Cited by 750

Systematic investigation of genetic vulnerabilities across cancer cell lines reveals lineage-specific dependencies in ovarian cancer

Cheung, H. W., Cowley, G. S., Weir, B. A., Boehm, J. S., Rusin, S., Scott, J. A., East, A., Ali, L. D., Lizotte, P. H., Wong, T. C., et al. (2011) · Proceedings of the National Academy of Sciences

Ovarian cancer diagnosis and treatmentChromatin Remodeling and Cancer

Cited by 423

High-throughput identification of genotype-specific cancer vulnerabilities in mixtures of barcoded tumor cell lines

Yu, C., Mannan, A. M., Yvone, G. M., Ross, K. N., Zhang, Y.-L., Marton, M. A., Taylor, B. R., Crenshaw, A., Gould, J. Z., Tamayo, P., et al. (2016) · Nature Biotechnology

Cancer Genomics and DiagnosticsComputational Drug Discovery Methods

Cited by 362

Systematic Evaluation of Molecular Networks for Discovery of Disease Genes

Huang, J. K., Carlin, D. E., Yu, M. K., Zhang, W., Kreisberg, J. F., Tamayo, P., & Ideker, T. (2018) · Cell Systems

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 289

A Platform of Synthetic Lethal Gene Interaction Networks Reveals that the GNAQ Uveal Melanoma Oncogene Controls the Hippo Pathway through FAK

Feng, X., Arang, N., Rigiracciolo, D. C., Lee, J. S., Yeerna, H., Wang, Z., Lubrano, S., Kishore, A., Pachter, J. A., König, G. M., et al. (2019) · Cancer Cell

Hippo pathway signaling and YAP/TAZOcular Oncology and Treatments

Cited by 237

An expanded universe of cancer targets

Hahn, W. C., Bader, J. S., Braun, T. P., Califano, A., Clemons, P. A., Druker, B. J., Ewald, A. J., Fu, H., Jagu, S., Kemp, C. J., et al. (2021) · Cell

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 213

Assembly and activation of the Hippo signalome by FAT1 tumor suppressor

Martin, D., Degese, M. S., Vitale-Cross, L., Iglesias-Bartolome, R., Valera, J. L. C., Wang, Z., Feng, X., Yeerna, H., Vadmal, V., Moroishi, T., et al. (2018) · Nature Communications

Hippo pathway signaling and YAP/TAZCancer-related molecular mechanisms research

Cited by 174

Overcoming Resistance to Dual Innate Immune and MEK Inhibition Downstream of KRAS

Kitajima, S., Asahina, H., Chen, T., Guo, S., Quiceno, L. G., Cavanaugh, J. D., Merlino, A. A., Tange, S., Terai, H., Kim, J. W., et al. (2018) · Cancer Cell

Melanoma and MAPK PathwaysHippo pathway signaling and YAP/TAZ

Cited by 75