Deasy JO - Search Results

1

Geometric graph neural networks on multi-omics data to predict cancer survival outcomes.

Zhu J, Oh JH, Simhal AK, Elkin R, Norton L, Deasy JO, Tannenbaum A. Zhu J, et al. Among authors: deasy jo. Comput Biol Med. 2023 Sep;163:107117. doi: 10.1016/j.compbiomed.2023.107117. Epub 2023 Jun 9. Comput Biol Med. 2023. PMID: 37329617 Free PMC article.

2

The maximum entropy principle for compositional data.

Weistuch C, Zhu J, Deasy JO, Tannenbaum AR. Weistuch C, et al. Among authors: deasy jo. BMC Bioinformatics. 2022 Oct 29;23(1):449. doi: 10.1186/s12859-022-05007-z. BMC Bioinformatics. 2022. PMID: 36309638 Free PMC article.

3

Functional transcriptional signatures for tumor-type-agnostic phenotype prediction.

Weistuch C, Murgas KA, Zhu J, Norton L, Dill KA, Tannenbaum AR, Deasy JO. Weistuch C, et al. Among authors: deasy jo. bioRxiv [Preprint]. 2024 Mar 12:2023.04.12.536595. doi: 10.1101/2023.04.12.536595. bioRxiv. 2024. PMID: 37090606 Free PMC article. Preprint.

4

Improved prediction of drug-induced liver injury literature using natural language processing and machine learning methods.

Oh JH, Tannenbaum A, Deasy JO. Oh JH, et al. Among authors: deasy jo. Front Genet. 2023 Jul 17;14:1161047. doi: 10.3389/fgene.2023.1161047. eCollection 2023. Front Genet. 2023. PMID: 37529777 Free PMC article.

5

Mapping the Single-cell Differentiation Landscape of Osteosarcoma.

Truong DD, Weistuch C, Murgas KA, Deasy JO, Mikos AG, Tannenbaum A, Ludwig J. Truong DD, et al. Among authors: deasy jo. bioRxiv [Preprint]. 2023 Sep 14:2023.09.13.555156. doi: 10.1101/2023.09.13.555156. bioRxiv. 2023. PMID: 37745374 Free PMC article. Preprint.

6

Wasserstein HOG: Local Directionality Extraction via Optimal Transport.

Zhu J, Veeraraghavan H, Jiang J, Oh JH, Norton L, Deasy JO, Tannenbaum A. Zhu J, et al. Among authors: deasy jo. IEEE Trans Med Imaging. 2024 Mar;43(3):916-927. doi: 10.1109/TMI.2023.3325295. Epub 2024 Mar 5. IEEE Trans Med Imaging. 2024. PMID: 37874704 Free PMC article.

7

Gene interaction network analysis in multiple myeloma detects complex immune dysregulation associated with shorter survival.

Simhal AK, Maclachlan KH, Elkin R, Zhu J, Norton L, Deasy JO, Oh JH, Usmani SZ, Tannenbaum A. Simhal AK, et al. Among authors: deasy jo. Blood Cancer J. 2023 Nov 30;13(1):175. doi: 10.1038/s41408-023-00935-2. Blood Cancer J. 2023. PMID: 38030619 Free PMC article.

8

Multi-Scale Geometric Network Analysis Identifies Melanoma Immunotherapy Response Gene Modules.

Murgas KA, Elkin R, Riaz N, Saucan E, Deasy JO, Tannenbaum AR. Murgas KA, et al. Among authors: deasy jo. bioRxiv [Preprint]. 2023 Nov 21:2023.11.21.568144. doi: 10.1101/2023.11.21.568144. bioRxiv. 2023. PMID: 38045365 Free PMC article. Updated. Preprint.

9

Dynamic network curvature analysis of gene expression reveals novel potential therapeutic targets in sarcoma.

Elkin R, Oh JH, Dela Cruz F, Norton L, Deasy JO, Kung AL, Tannenbaum AR. Elkin R, et al. Among authors: deasy jo. Sci Rep. 2024 Jan 4;14(1):488. doi: 10.1038/s41598-023-49930-4. Sci Rep. 2024. PMID: 38177639 Free PMC article.

10

Multi-scale geometric network analysis identifies melanoma immunotherapy response gene modules.

Murgas KA, Elkin R, Riaz N, Saucan E, Deasy JO, Tannenbaum AR. Murgas KA, et al. Among authors: deasy jo. Sci Rep. 2024 Mar 13;14(1):6082. doi: 10.1038/s41598-024-56459-7. Sci Rep. 2024. PMID: 38480759 Free PMC article.

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