Joshua M. Stuart, Ph.D.
Affiliations: | 2004 | Stanford University, Palo Alto, CA |
Area:
Biostatistics Biology, Molecular Biology, Biomedical EngineeringGoogle:
"Joshua Stuart"Parents
Sign in to add mentor| Stuart K. Kim | grad student | 2004 | Stanford | |
| (Predicting gene function using DNA microarray data from multiple organisms.) | ||||
Children
Sign in to add trainee| Kiley Graim | grad student | University of California (Santa Cruz) (Cell Biology Tree) |
BETA: Related publications
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Publications
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| Sundaram L, Kumar A, Zatzman M, et al. (2024) Single-cell chromatin accessibility reveals malignant regulatory programs in primary human cancers. Science (New York, N.Y.). 385: eadk9217 |
| Uzunangelov V, Wong CK, Stuart JM. (2021) Accurate cancer phenotype prediction with AKLIMATE, a stacked kernel learner integrating multimodal genomic data and pathway knowledge. Plos Computational Biology. 17: e1008878 |
| Guan X, Sun D, Lu E, et al. (2020) Copy Number Loss of 17q22 Is Associated with Enzalutamide Resistance and Poor Prognosis in Metastatic Castration-Resistant Prostate Cancer. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research |
| Rheinbay E, Nielsen MM, Abascal F, et al. (2020) Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. Nature. 578: 102-111 |
| Salcedo A, Tarabichi M, Espiritu SMG, et al. (2020) A community effort to create standards for evaluating tumor subclonal reconstruction. Nature Biotechnology. 38: 97-107 |
| Haan D, Tao R, Friedl V, et al. (2020) Using Transcriptional Signatures to Find Cancer Drivers with LURE. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 25: 343-354 |
| Ding H, Blair A, Yang Y, et al. (2019) Biological process activity transformation of single cell gene expression for cross-species alignment. Nature Communications. 10: 4899 |
| Ellrott K, Buchanan A, Creason A, et al. (2019) Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges. Genome Biology. 20: 195 |
| Graim K, Friedl V, Houlahan KE, et al. (2019) PLATYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 136-147 |
| Newton Y, Rassekh SR, Deyell RJ, et al. (2018) Comparative RNA-Sequencing Analysis Benefits a Pediatric Patient With Relapsed Cancer. Jco Precision Oncology. 2 |