I am a data scientist that develops machine learning algorithms to gain insight into cancer
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Dana-Farber Cancer Institute
- Boston, MA
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KarchinLab/2020plus
KarchinLab/2020plus PublicClassifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
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KarchinLab/probabilistic2020
KarchinLab/probabilistic2020 PublicSimulates somatic mutations, and calls statistically significant oncogenes and tumor suppressor genes based on a randomization-based test
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KarchinLab/cancerSeqStudy
KarchinLab/cancerSeqStudy PublicAnalysis of statistical power and false positives for cancer exome sequencing studies
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KarchinLab/CHASMplus
KarchinLab/CHASMplus PublicPredicts which missense mutations will drive growth of human cancers
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KarchinLab/HotMAPS_2016
KarchinLab/HotMAPS_2016 PublicDetects hotspot regions for somatic mutations in 3D protein structures
Python 2
14 contributions in the last year
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