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Pierre Bushel, Ph.D.

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Dr. Bushel’s research focuses primarily on developing cellular therapeutic, obtaining a better understanding of underlying regulatory mechanisms of transcriptional networks, resolving cancer genomics and gene biomarker discovery. He, his colleagues and his collaborators use bioinformatics, computational biology and machine learning to address public health concerns and to advance biotechnology. In particular, he designs and implements analytical methodologies for integrative analyses of genomics, genetics, epigenetic, pathology images and other big data types. In addition, he develops software and databases for health informatics, basic science research and deep learning for massive analysis of gene expression data.

Single-cell RNA-Seq data clustering and analytics for cellular therapeutics and reproducible science in big data through the U.S. FDA-led Massive Analysis and Quality Control (MAQC), SEquence Quality Control (SEQC) consortiums are current areas of interest.

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.