Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data.
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| Title: | Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data. |
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| Authors: | Norris R; Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK., Jones J; Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK., Mancini E; School of Life Sciences, University of Sussex, Brighton, UK., Chevassut T; Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK., Simoes FA; Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK., Pepper C; Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK., Pepper A; Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK., Mitchell S; Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK. S.A.Mitchell@bsms.ac.uk. |
| Source: | Blood cancer journal [Blood Cancer J] 2024 Jul 04; Vol. 14 (1), pp. 105. Date of Electronic Publication: 2024 Jul 04. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101568469 Publication Model: Electronic Cited Medium: Internet ISSN: 2044-5385 (Electronic) Linking ISSN: 20445385 NLM ISO Abbreviation: Blood Cancer J Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2044-5385 |
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| DOI: | 10.1038/s41408-024-01090-y |
