Kyle Ellrott

Broad Institute — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

43h-index31.2kcitations207works1.62yr avg
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Research Topics

Cancer Genomics and Diagnostics(60), Bioinformatics and Genomic Networks(36), Gene expression and cancer classification(33), Genomics and Rare Diseases(23), Genetics, Bioinformatics, and Biomedical Research(22)

Publications150 total

FHIR as a Unifying Format for Genomic Research Data Tracking, Aggregation, and Integration
2025Open Access
A decentralized future for the open-science databases.
PubMed·2025
Robust software development practices improve citations of RNA-seq tools
2025Open Access
Pan-cancer immune and stromal deconvolution predicts clinical outcomes and mutation profiles
UNC Libraries·2025Open Access
Pan-cancer immune and stromal deconvolution predicts clinical outcomes and mutation profiles
Scientific Reports·2025· 2 citedOpen Access
Aggregating multimodal cancer data across unaligned embedding spaces maintains tumor of origin signal
2025Open Access
Abstract 6608: Integrating HCMI models and tumors with CCLE and TCGA: Advancing cancer modeling and precision oncology
Cancer Research·2025
Abstract 4005: Integrative clinical and molecular characterization of an international community resource of organoid models of human cancer
Cancer Research·2025
Abstract 3882: Patterns of genomic patient-model conservation and evolution in the Human Cancer Models Initiative (HCMI) next-generation cancer model resource
Cancer Research·2025
Abstract 1165: The landscape of molecular targets across 665 next-generation cancer models in the human cancer models initiative identifies opportunities for improved therapy and overcoming resistance
Cancer Research·2025
Protocol for obtaining cancer type and subtype predictions using subSCOPE
STAR Protocols·2025Open Access
Protocol for assessing distances in pathway space for classifier feature sets from machine learning methods
STAR Protocols·2025Open Access
Abstract B025: Integrative clinical and molecular analysis of 665 next-generation in vitro cancer models generated by the the Human Cancer Models Initiative (HCMI) for advancing precision medicine and functional drug discovery
Cancer Research·2025· 1 cited
Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets
Cancer Cell·2025· 22 citedOpen Access
SyntheVAEiser: augmenting traditional machine learning methods with VAE-based gene expression sample generation for improved cancer subtype predictions
Genome biology·2024· 4 citedOpen Access
The GA4GH Task Execution Application Programming Interface: Enabling Easy Multicloud Task Execution
Computing in Science & Engineering·2024Open Access
Abstract 6548: Leveraging compact feature sets for TCGA-based molecular subtype classification on new samples
Cancer Research·2024· 2 cited
Abstract 7393: Tumor model to tumor treatment: Applying deep learning approaches to map multimodal data from cancer model systems to patients
Cancer Research·2024
Abstract 3558: An integrated data platform to support the international alliance for cancer early detection
Cancer Research·2024
The GA4GH Task Execution API: Enabling Easy Multi Cloud Task Execution
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Joshua M. Stuart(17), John Wooley(12), Adam Godzik(12), Lukasz Jaroszewski(11), Constantina Bakolitsa(11), Sanjeev Krishna(11), Qingping Xu(10), Polat Abdubek(10), Tamara Astakhova(10), Herbert L. Axelrod(10), Dennis Carlton(10), Thomas Clayton(10), Debanu Das(10), Marc C. Deller(10), Carol L. Farr(10), Julie Feuerhelm(10), Joanna C. Grant(10), Anna Grzechnik(10), Gye Won Han(10), Heath E. Klock(10)