Guinney, Justin

GSVA: gene set variation analysis for microarray and RNA-Seq data

Hänzelmann, S., Castelo, R., & Guinney, J. (2013) · BMC Bioinformatics

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 15,440

The Immune Landscape of Cancer

Thorsson, V., Gibbs, D. L., Brown, S. D., Wolf, D., Bortone, D. S., Ou Yang, T.-H., Porta-Pardo, E., Gao, G. F., Plaisier, C. L., Eddy, J. A., et al. (2018) · Immunity

Cancer Immunotherapy and BiomarkersImmune cells in cancer

Cited by 5,870

The consensus molecular subtypes of colorectal cancer

Guinney, J., Dienstmann, R., Wang, X., de Reyniès, A., Schlicker, A., Soneson, C., Marisa, L., Roepman, P., Nyamundanda, G., Angelino, P., et al. (2015) · Nature Medicine

Colorectal Cancer Treatments and StudiesGenetic factors in colorectal cancer

Cited by 5,170

Genome-wide methylation profiles reveal quantitative views of human aging rates

Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., et al. (2013) · Molecular Cell

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 4,270

AACR Project GENIE: Powering Precision Medicine through an International Consortium

The AACR Project GENIE Consortium, The AACR Project GENIE Consortium, André, F., Arnedos, M., Baras, A. S., Baselga, J., Bedard, P. L., Berger, M. F., Bierkens, M., Calvo, F., et al. (2017) · Cancer Discovery

Cancer Genomics and DiagnosticsLung Cancer Treatments and Mutations

Cited by 1,964

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Haendel, M. A., Chute, C. G., Bennett, T. D., Eichmann, D. A., Guinney, J., Kibbe, W. A., Payne, P. R. O., Pfaff, E. R., Robinson, P. N., Saltz, J. H., et al. (2021) · Journal of the American Medical Informatics Association

Research Data Management PracticesElectronic Health Records Systems

Cited by 553

Key parameters of tumor epitope immunogenicity revealed through a consortium approach improve neoantigen prediction

Wells, D. K., van Buuren, M. M., Dang, K. K., Hubbard-Lucey, V. M., Sheehan, K. C. F., Campbell, K. M., Lamb, A., Ward, J. P., Sidney, J., Blazquez, A. B., et al. (2020) · Cell

vaccines and immunoinformatics approachesCancer Immunotherapy and Biomarkers

Cited by 538

Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms

Schaffter, T., Buist, D. S. M., Lee, C. I., Nikulin, Y., Ribli, D., Guan, Y., Lotter, W., Jie, Z., Du, H., Wang, S., et al. (2020) · JAMA Network Open

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 409

Colorectal cancer consensus molecular subtypes translated to preclinical models uncover potentially targetable cancer cell dependencies

Sveen, A., Bruun, J., Eide, P. W., Eilertsen, I. A., Ramirez, L., Murumägi, A., Arjama, M., Danielsen, S. A., Kryeziu, K., Elez, E., et al. (2018) · Clinical Cancer Research

Colorectal Cancer Treatments and StudiesGenetic factors in colorectal cancer

Cited by 256

A community challenge for a pancancer drug mechanism of action inference from perturbational profile data

Douglass, E. F., Allaway, R. J., Szalai, B., Wang, W., Tian, T., Fernández-Torras, A., Realubit, R., Karan, C., Zheng, S., Pessia, A., et al. (2022) · Cell Reports Medicine

Computational Drug Discovery MethodsGene expression and cancer classification

Cited by 68

Colorectal premalignancy is associated with consensus molecular subtypes 1 and 2

Chang, K., Willis, J. A., Reumers, J., Taggart, M. W., San Lucas, F. A., Thirumurthi, S., Kanth, P., Delker, D. A., Hagedorn, C. H., Lynch, P. M., et al. (2018) · Annals of Oncology

Genetic factors in colorectal cancerColorectal Cancer Treatments and Studies

Cited by 51

PERSONALIZED HYPOTHESIS TESTS FOR DETECTING MEDICATION RESPONSE IN PARKINSON DISEASE PATIENTS USING iPHONE SENSOR DATA

CHAIBUB NETO, E., BOT, B. M., PERUMAL, T., OMBERG, L., GUINNEY, J., KELLEN, M., KLEIN, A., FRIEND, S. H., & TRISTER, A. D. (2016) · Biocomputing 2016

Statistical Methods in Clinical TrialsParkinson's Disease Mechanisms and Treatments

Cited by 33

Molecular subtypes and outcomes in regorafenib-treated patients with metastatic colorectal cancer (mCRC) enrolled in the CORRECT trial

Teufel, M., Schwenke, S., Seidel, H., Beckmann, G., Reischl, J., Vonk, R., Lenz, H.-J., Tabernero, J., Siena, S., Grothey, A., et al. (2015) · Journal of Clinical Oncology

Colorectal Cancer Treatments and StudiesGenetic factors in colorectal cancer

Cited by 26

Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine

Bergquist, T., Schaffter, T., Yan, Y., Yu, T., Prosser, J., Gao, J., Chen, G., Charzewski, Ł., Nawalany, Z., Brugere, I., et al. (2023) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 8