Friend, Stephen H.

Gene expression profiling predicts clinical outcome of breast cancer

van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature

Breast Cancer Treatment StudiesGene expression and cancer classification

Cited by 9,536

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

Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis

Winzeler, E. A., Shoemaker, D. D., Astromoff, A., Liang, H., Anderson, K., Andre, B., Bangham, R., Benito, R., Boeke, J. D., Bussey, H., et al. (1999) · Science

Fungal and yeast genetics researchBioinformatics and Genomic Networks

Cited by 3,953

Germ Line p53 Mutations in a Familial Syndrome of Breast Cancer, Sarcomas, and Other Neoplasms

Malkin, D., Li, F. P., Strong, L. C., Fraumeni, J. F., Nelson, C. E., Kim, D. H., Kassel, J., Gryka, M. A., Bischoff, F. Z., Tainsky, M. A., et al. (1990) · Science

Cancer-related Molecular PathwaysGenetic factors in colorectal cancer

Cited by 3,765

A human DNA segment with properties of the gene that predisposes to retinoblastoma and osteosarcoma

Friend, S. H., Bernards, R., Rogelj, S., Weinberg, R. A., Rapaport, J. M., Albert, D. M., & Dryja, T. P. (1986) · Nature

Ocular Oncology and TreatmentsCancer-related Molecular Pathways

Cited by 2,948

Association between an oncogene and an anti-oncogene: the adenovirus E1A proteins bind to the retinoblastoma gene product

Whyte, P., Buchkovich, K. J., Horowitz, J. M., Friend, S. H., Raybuck, M., Weinberg, R. A., & Harlow, E. (1988) · Nature

Cancer-related Molecular PathwaysChromatin Remodeling and Cancer

Cited by 1,403

The mPower study, Parkinson disease mobile data collected using ResearchKit

Bot, B. M., Suver, C., Neto, E. C., Kellen, M., Klein, A., Bare, C., Doerr, M., Pratap, A., Wilbanks, J., Dorsey, E. R., et al. (2016) · Scientific Data

Mobile Health and mHealth ApplicationsContext-Aware Activity Recognition Systems

Cited by 630

Gene expression changes associated with progression and response in chronic myeloid leukemia

Radich, J. P., Dai, H., Mao, M., Oehler, V., Schelter, J., Druker, B., Sawyers, C., Shah, N., Stock, W., Willman, C. L., et al. (2006) · Proceedings of the National Academy of Sciences

Chronic Myeloid Leukemia TreatmentsChronic Lymphocytic Leukemia Research

Cited by 583

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

Analysis of 589,306 genomes identifies individuals resilient to severe Mendelian childhood diseases

Chen, R., Shi, L., Hakenberg, J., Naughton, B., Sklar, P., Zhang, J., Zhou, H., Tian, L., Prakash, O., Lemire, M., et al. (2016) · Nature Biotechnology

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 310

The use of smartphones for health research

Dorsey, E. R., “Yvonne” Chan, Y.-F., McConnell, M. V., Shaw, S. Y., Trister, A. D., & Friend, S. H. (2017) · Academic Medicine

Mobile Health and mHealth ApplicationsMobile Crowdsensing and Crowdsourcing

Cited by 154

Detecting the impact of subject characteristics on machine learning-based diagnostic applications

Chaibub Neto, E., Pratap, A., Perumal, T. M., Tummalacherla, M., Snyder, P., Bot, B. M., Trister, A. D., Friend, S. H., Mangravite, L., & Omberg, L. (2019) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 83

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