Here we propose a novel approach called Discriminative Bag-of-Cells (DBC) for predicting genomic markers using imaging features, which addresses the challenge ...
Discriminative bag-of-cells for imaging-genomics. Benjamin Chidester. Computational Biology, School of Computer Science, Carnegie Mellon University ...
Here we propose a novel approach called Discriminative Bag-of-Cells (DBC) for predicting genomic markers using imaging features, which addresses the challenge ...
, Discriminative bag-of-cells for imaging-genomics. ; Chidester, Benjamin; Do, Minh N; Ma, Jian; Altman, Russ B. ;. , ISSN: 2335-6928; ISBN: 978-981-323-552-6 ...
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Co-authors ; Discriminative bag-of-cells for imaging-genomics. B Chidester, MN Do, J Ma. PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018: Proceedings of the Pacific ...
Discriminative bag-of-cells for imaging-genomics. PSB, in Proceedings of the Pacific Symposium on Biocomputing, 23:319-330, 2018. Rajaraman A and Ma J. Toward ...
Apr 6, 2023 · Discriminative bag-of-cells for imaging-genomics. 23rd Pac. Symp . Biocomput. (PSB) 23, 319–330 (2018). Google Scholar. Wang, Y. et al ...
Connecting genotypes to image phenotypes is crucial for a comprehensive understanding of cancer. To learn such connections, new machine learning approaches ...
Chidester et al., Discriminative bag-of-cells for imaging-genomics, Pacific Symposium on Biocomputing, 2018; Han and Kamdar., MRI to MGMT: predicting ...
Discriminative bag-of-cells for imaging-genomics · pdf icon · Benjamin Chidester, Minh N. Do, Jian Ma. 14 Feb 2020; OpenReview Archive Direct Upload; Readers ...