Altman, Russ B.

Missing Value Estimation Methods for DNA Microarrays

Troyanskaya, O., Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D., & Altman, R. B. (2001) · Bioinformatics

Gene expression and cancer classificationGenomics and Phylogenetic Studies

Cited by 4,230

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

Personal omics profiling reveals dynamic molecular and medical phenotypes

Chen, R., Mias, G. I., Li-Pook-Than, J., Jiang, L., Lam, H. Y. K., Chen, R., Miriami, E., Karczewski, K. J., Hariharan, M., Dewey, F. E., et al. (2012) · Cell

Bioinformatics and Genomic NetworksHealth, Environment, Cognitive Aging

Cited by 1,291

Guidelines for investigating causality of sequence variants in human disease

MacArthur, D. G., Manolio, T. A., Dimmock, D. P., Rehm, H. L., Shendure, J., Abecasis, G. R., Adams, D. R., Altman, R. B., Antonarakis, S. E., Ashley, E. A., et al. (2014) · Nature

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 1,224

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

Yu, K.-H., Zhang, C., Berry, G. J., Altman, R. B., Ré, C., Rubin, D. L., & Snyder, M. (2016) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 972

Machine learning in chemoinformatics and drug discovery

Lo, Y.-C., Rensi, S. E., Torng, W., & Altman, R. B. (2018) · Drug Discovery Today

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 960

Data-driven prediction of drug effects and interactions

Tatonetti, N. P., Ye, P. P., Daneshjou, R., & Altman, R. B. (2012) · Science Translational Medicine

Pharmacovigilance and Adverse Drug ReactionsComputational Drug Discovery Methods

Cited by 936

Clinical assessment incorporating a personal genome

Ashley, E. A., Butte, A. J., Wheeler, M. T., Chen, R., Klein, T. E., Dewey, F. E., Dudley, J. T., Ormond, K. E., Pavlovic, A., Morgan, A. A., et al. (2010) · The Lancet

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 674

Metformin pathways: pharmacokinetics and pharmacodynamics

Gong, L., Goswami, S., Giacomini, K. M., Altman, R. B., & Klein, T. E. (2012) · Pharmacogenetics and Genomics

Pharmacogenetics and Drug MetabolismMetabolism, Diabetes, and Cancer

Cited by 495

Graph Convolutional Neural Networks for Predicting Drug-Target Interactions

Torng, W., & Altman, R. B. (2019) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 371

Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms

Kaushal, A., Altman, R., & Langlotz, C. (2020) · JAMA

Artificial Intelligence in Healthcare and Educationscientometrics and bibliometrics research

Cited by 239

A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports

Tatonetti, N. P., Fernald, G. H., & Altman, R. B. (2012) · Journal of the American Medical Informatics Association

Pharmacovigilance and Adverse Drug ReactionsPharmaceutical Practices and Patient Outcomes

Cited by 203

Protein sequence design with a learned potential

Anand, N., Eguchi, R., Mathews, I. I., Perez, C. P., Derry, A., Altman, R. B., & Huang, P.-S. (2022) · Nature Communications

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 171

Reconstruction of the Mouse Otocyst and Early Neuroblast Lineage at Single-Cell Resolution

Durruthy-Durruthy, R., Gottlieb, A., Hartman, B. H., Waldhaus, J., Laske, R. D., Altman, R., & Heller, S. (2014) · Cell

Hearing, Cochlea, Tinnitus, GeneticsDevelopmental Biology and Gene Regulation

Cited by 148

PharmGKB summary: very important pharmacogene information for N-acetyltransferase 2

McDonagh, E. M., Boukouvala, S., Aklillu, E., Hein, D. W., Altman, R. B., & Klein, T. E. (2014) · Pharmacogenetics and Genomics

Pharmacogenetics and Drug MetabolismGenetic Associations and Epidemiology

Cited by 146

3D deep convolutional neural networks for amino acid environment similarity analysis

Torng, W., & Altman, R. B. (2017) · BMC Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 142

The International SSRI Pharmacogenomics Consortium (ISPC): a genome-wide association study of antidepressant treatment response

Biernacka, J. M., Sangkuhl, K., Jenkins, G., Whaley, R. M., Barman, P., Batzler, A., Altman, R. B., Arolt, V, Brockmöller, J., Chen, C. H., et al. (2015) · Translational Psychiatry

Treatment of Major DepressionGenetic Associations and Epidemiology

Cited by 140

Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets

Chen, J. H., Alagappan, M., Goldstein, M. K., Asch, S. M., & Altman, R. B. (2017) · International Journal of Medical Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 101

Opportunities and challenges for the computational interpretation of rare variation in clinically important genes

McInnes, G., Sharo, A. G., Koleske, M. L., Brown, J. E. H., Norstad, M., Adhikari, A. N., Wang, S., Brenner, S. E., Halpern, J., Koenig, B. A., et al. (2021) · The American Journal of Human Genetics

Genomics and Rare DiseasesArtificial Intelligence in Healthcare and Education

Cited by 86

High precision protein functional site detection using 3D convolutional neural networks

Torng, W., & Altman, R. B. (2019) · Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 69

Application of a Dynamic Map for Learning, Communicating, Navigating, and Improving Therapeutic Development

Wagner, J. A., Dahlem, A. M., Hudson, L. D., Terry, S. F., Altman, R. B., Gilliland, C. T., DeFeo, C., & Austin, C. P. (2018) · Clinical and Translational Science

Health and Medical Research ImpactsInterdisciplinary Research and Collaboration

Cited by 45

Opportunities for developing therapies for rare genetic diseases: focus on gain-of-function and allostery

Chen, B., & Altman, R. B. (2017) · Orphanet Journal of Rare Diseases

Genomics and Rare DiseasesComputational Drug Discovery Methods

Cited by 28

COLLAPSE: A representation learning framework for identification and characterization of protein structural sites

Derry, A., & Altman, R. B. (2022) · Protein Science

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 16

PGxMine: Text mining for curation of PharmGKB

Lever, J., Barbarino, J. M., Gong, L., Huddart, R., Sangkuhl, K., Whaley, R., Whirl-Carrillo, M., Woon, M., Klein, T. E., & Altman, R. B. (2019) · Biocomputing 2020

Biomedical Text Mining and OntologiesPharmacogenetics and Drug Metabolism

Cited by 16