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- David Gifford, PhD Professor of Electrical Engineering and Computer Science, Professor of Biological Engineering Research Highlights David Gifford develops new machine learning techniques and algorithms to model the transcriptional regulatory networks that control gene expression programs in living cells.
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David Gifford, PhD. Professor of Electrical Engineering and Computer Science, Professor of Biological Engineering. Research Highlights. David Gifford develops new machine learning techniques and algorithms to model the transcriptional regulatory networks that control gene expression programs in living cells. Contact. Email gifford@mit.edu.
David K. Gifford. Faculty Title: ( Professor Post Tenure- Not taking students) Professor of Electrical Engineering and Computer Science. Department: Electrical Engineering and Computer Science (EECS) Room: 32G-542. Phone Number: (617) 253-6039.
David GIFFORD | Cited by 31,314 | of Massachusetts Institute of Technology, MA (MIT) | Read 334 publications | Contact David GIFFORD
Here we present high-throughput interrogation of gene-centered activation networks (HIGAN), a pipeline that employs a suite of multifaceted genomic approaches to connect upstream signaling inputs, trans-acting TFs, and cis-regulatory elements.
The Gifford research group develops methods for integrating data from different formats, such as expression profiling and DNA-binding data, to create quantitative models of complex biological phenomena.
Apr 24, 2020 · David Gifford develops new machine learning techniques and algorithms to model the transcriptional regulatory networks that control gene expression programs in living cells.
Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford: What made you do this? Understanding black-box decisions with sufficient input subsets. AISTATS 2019: 567-576