BING ZHANG to Neoplasms
This is a "connection" page, showing publications BING ZHANG has written about Neoplasms.
Connection Strength
2.223
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Deciphering the dark cancer phosphoproteome using machine-learned co-regulation of phosphosites. Nat Commun. 2025 Mar 20; 16(1):2766.
Score: 0.326
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Mapping the functional network of human cancer through machine learning and pan-cancer proteogenomics. Nat Cancer. 2025 Jan; 6(1):205-222.
Score: 0.320
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Pan-cancer proteogenomics expands the landscape of therapeutic targets. Cell. 2024 Aug 08; 187(16):4389-4407.e15.
Score: 0.310
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Current perspectives on mass spectrometry-based immunopeptidomics: the computational angle to tumor antigen discovery. J Immunother Cancer. 2023 10; 11(10).
Score: 0.295
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A proteogenomics data-driven knowledge base of human cancer. Cell Syst. 2023 09 20; 14(9):777-787.e5.
Score: 0.292
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Proteogenomics drives therapeutic hypothesis generation for precision oncology. Br J Cancer. 2021 07; 125(1):1-3.
Score: 0.247
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Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis. Nat Commun. 2020 04 09; 11(1):1759.
Score: 0.231
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Tumor-associated antigen prediction using a single-sample gene expression state inference algorithm. Cell Rep Methods. 2024 Nov 18; 4(11):100906.
Score: 0.080
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Proteogenomic data and resources for pan-cancer analysis. Cancer Cell. 2023 08 14; 41(8):1397-1406.
Score: 0.073
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Detection of Proteome Diversity Resulted from Alternative Splicing is Limited by Trypsin Cleavage Specificity. Mol Cell Proteomics. 2018 03; 17(3):422-430.
Score: 0.049