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个人简介
Our lab uses machine learning and artificial intelligence to do biomedical research, focusing on cancer evolution, gene regulation, clinical informatics, and gene function prediction. A key interest is the role of RNA-binding proteins (RBPs) in post-transcriptional regulation. We focus on developing computational and experimental techniques to determine the RNA specificities of RBPs (both sequence and structural) and use these specificities to predict their target transcripts, determine RBP function, and ultimately decipher the regulatory code. Another focus is reconstructing and modelling somatic evolution (pre- and post-cancer) using bulk and single-cell genomic data. In general, we are focused on using large, heterogeneous functional genomic datasets to uncover insights about gene function. Recently, we have becoming increasingly interested in using artificial intelligence and predictive analytics, along with electronic medical records, to inform patient care, particularly in the domain of auto-immune disease.
研究兴趣
论文共 132 篇作者统计合作学者相似作者
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Madison Darmofal,Shalabh Suman,Gurnit Atwal, Michael Toomey,Jie-Fu Chen,Jason C Chang,Efsevia Vakiani,Anna M Varghese,Anoop Balakrishnan Rema,Aijazuddin Syed,Nikolaus Schultz,Michael F Berger,
medRxiv : the preprint server for health sciences (2024)
openalex(2023)
Cancer Researchno. 7_Supplement (2023): 5440-5440
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STAR Protocolsno. 4 (2022): 101706-101706
NATURE COMMUNICATIONSno. 1 (2022)
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