- ๐ I research Machine Learning, Artificial intelligence, Statistical Genetics and Bioinformatics. This is applied to Genetics & Precision Medicine of Neuropsychiatric disorders, Cancers and Polygenic risk prediction.
- ๐จ๐ฝโ๐ป I write Python, R, Java, PHP, SQL, HTML and associated frameworks and libraries
- ๐ I build web, mobile, bioinformatics & data platforms and products.
- ๐ฑ Iโm currently learning Representation learning and Data engineering pipelines cloud platforms.
- ๐๏ธ I want to collaborate and consult on machine learning, data science and bioinformatics projects.
- ๐ซ How to reach me [email protected]
davidenoma / driverml Goto Github PK
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DriverML identifies cancer driver genes. Rigorous and unbiased benchmark analysis and comparisons of DriverML with 20 other existing tools in 31 independent datasets from The Cancer Genome Atlas (TCGA) show that DriverML is robust and powerful among various datasets and outperforms the other tools with a better balance of precision and recall.