McWeeney, Shannon K.

Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study

Kuderer, N. M., Choueiri, T. K., Shah, D. P., Shyr, Y., Rubinstein, S. M., Rivera, D. R., Shete, S., Hsu, C.-Y., Desai, A., de Lima Lopes, G., et al. (2020) · The Lancet

COVID-19 and healthcare impactsCOVID-19 Clinical Research Studies

Cited by 1,726

The BioPAX community standard for pathway data sharing

Demir, E., Cary, M. P., Paley, S., Fukuda, K., Lemer, C., Vastrik, I., Wu, G., D'Eustachio, P., Schaefer, C., Luciano, J., et al. (2010) · Nature Biotechnology

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 745

MIFlowCyt: The minimum information about a flow cytometry experiment

Lee, J. A., Spidlen, J., Boyce, K., Cai, J., Crosbie, N., Dalphin, M., Furlong, J., Gasparetto, M., Goldberg, M., Goralczyk, E. M., et al. (2008) · Cytometry Part A

Research Data Management PracticesScientific Computing and Data Management

Cited by 533

Integrative Analysis of Drug Response and Clinical Outcome in Acute Myeloid Leukemia

Bottomly, D., Long, N., Schultz, A. R., Kurtz, S. E., Tognon, C. E., Johnson, K., Abel, M., Agarwal, A., Avaylon, S., Benton, E., et al. (2022) · Cancer Cell

Acute Myeloid Leukemia ResearchRetinoids in leukemia and cellular processes

Cited by 403

Identification of interleukin-1 by functional screening as a key mediator of cellular expansion and disease progression in acute myeloid leukemia

Carey, A., Edwards, D. K., Eide, C. A., Newell, L., Traer, E., Medeiros, B. C., Pollyea, D. A., Deininger, M. W., Collins, R. H., Tyner, J. W., et al. (2017) · Cell Reports

Acute Myeloid Leukemia ResearchCytokine Signaling Pathways and Interactions

Cited by 270

Utilizing RNA-Seq data for de novo coexpression network inference

Iancu, O. D., Kawane, S., Bottomly, D., Searles, R., Hitzemann, R., & McWeeney, S. (2012) · Bioinformatics

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 114

Working Memory and Vigilance as Multivariate Endophenotypes Related to Common Genetic Risk for Attention-Deficit/Hyperactivity Disorder

Nigg, J. T., Gustafsson, H. C., Karalunas, S. L., Ryabinin, P., McWeeney, S. K., Faraone, S. V., Mooney, M. A., Fair, D. A., & Wilmot, B. (2018) · Journal of the American Academy of Child & Adolescent Psychiatry

Attention Deficit Hyperactivity DisorderAutism Spectrum Disorder Research

Cited by 93

Genes, behavior and next‐generation RNA sequencing

Hitzemann, R., Bottomly, D., Darakjian, P., Walter, N., Iancu, O., Searles, R., Wilmot, B., & McWeeney, S. (2013) · Genes, Brain and Behavior

Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics

Cited by 88

Biology and medicine in the landscape of quantum advantages

Cordier, B. A., Sawaya, N. P. D., Guerreschi, G. G., & McWeeney, S. K. (2022) · Journal of The Royal Society Interface

Quantum Computing Algorithms and ArchitectureDNA and Biological Computing

Cited by 87

SNPs matter: impact on detection of differential expression.

Walter, N. A. R., McWeeney, S. K., Peters, S. T., Belknap, J. K., Hitzemann, R., & Buck, K. J. (2007) · Nature Methods

Gene expression and cancer classificationGenetic Mapping and Diversity in Plants and Animals

Cited by 67

Cosplicing network analysis of mammalian brain RNA-Seq data utilizing WGCNA and Mantel correlations

Iancu, O. D., Colville, A., Oberbeck, D., Darakjian, P., McWeeney, S. K., & Hitzemann, R. (2015) · Frontiers in Genetics

RNA Research and SplicingBioinformatics and Genomic Networks

Cited by 57

Pathway analysis in attention deficit hyperactivity disorder: An ensemble approach

Mooney, M. A., McWeeney, S. K., Faraone, S. V., Hinney, A., Hebebrand, J., IMAGE2 Consortium, German ADHD GWAS Group, Nigg, J. T., & Wilmot, B. (2016) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

Attention Deficit Hyperactivity DisorderBioinformatics and Genomic Networks

Cited by 48

Immune Response Gene Profiles in the Term Placenta Depend Upon Maternal Muscle Mass

O’Tierney, P. F., Lewis, R. M., McWeeney, S. K., Hanson, M. A., Inskip, H. M., Morgan, T. K., Barker, D. J., Bagby, G., Cooper, C., Godfrey, K. M., et al. (2012) · Reproductive Sciences

Pregnancy and preeclampsia studiesBirth, Development, and Health

Cited by 24

Introduction to Sequencing the Brain Transcriptome

Hitzemann, R., Darakjian, P., Walter, N., Dan Iancu, O., Searles, R., & McWeeney, S. (2014) · International Review of Neurobiology

Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics

Cited by 20

A Pragmatic Framework for Federated Learning Risk and Governance in Academic Medical Centers

Bottomly, D., Barnes, B., Mavuwa, K., Lee, N., Roth, H. R., Chen, C., & McWeeney, S. K. (2026) · JMIR AI

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 3