 Connection
Matthew Ellis to Genomics
This is a "connection" page, showing publications Matthew Ellis has written about Genomics.
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Connection Strength |
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0.506 |
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Mertins P, Mani DR, Ruggles KV, Gillette MA, Clauser KR, Wang P, Wang X, Qiao JW, Cao S, Petralia F, Kawaler E, Mundt F, Krug K, Tu Z, Lei JT, Gatza ML, Wilkerson M, Perou CM, Yellapantula V, Huang KL, Lin C, McLellan MD, Yan P, Davies SR, Townsend RR, Skates SJ, Wang J, Zhang B, Kinsinger CR, Mesri M, Rodriguez H, Ding L, Paulovich AG, Fenyö D, Ellis MJ, Carr SA. Proteogenomics connects somatic mutations to signalling in breast cancer. Nature. 2016 06 02; 534(7605):55-62.
Score: 0.082
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Zhang B, Wang J, Wang X, Zhu J, Liu Q, Shi Z, Chambers MC, Zimmerman LJ, Shaddox KF, Kim S, Davies SR, Wang S, Wang P, Kinsinger CR, Rivers RC, Rodriguez H, Townsend RR, Ellis MJ, Carr SA, Tabb DL, Coffey RJ, Slebos RJ, Liebler DC. Proteogenomic characterization of human colon and rectal cancer. Nature. 2014 Sep 18; 513(7518):382-7.
Score: 0.072
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Goncalves R, Warner WA, Luo J, Ellis MJ. New concepts in breast cancer genomics and genetics. Breast Cancer Res. 2014; 16(5):460.
Score: 0.069
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Ellis MJ, Gillette M, Carr SA, Paulovich AG, Smith RD, Rodland KK, Townsend RR, Kinsinger C, Mesri M, Rodriguez H, Liebler DC. Connecting genomic alterations to cancer biology with proteomics: the NCI Clinical Proteomic Tumor Analysis Consortium. Cancer Discov. 2013 Oct; 3(10):1108-12.
Score: 0.068
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Ellis MJ. Mutational analysis of breast cancer: guiding personalized treatments. Breast. 2013 Aug; 22 Suppl 2:S19-21.
Score: 0.067
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Ellis MJ, Perou CM. The genomic landscape of breast cancer as a therapeutic roadmap. Cancer Discov. 2013 Jan; 3(1):27-34.
Score: 0.064
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Mani DR, Krug K, Zhang B, Satpathy S, Clauser KR, Ding L, Ellis M, Gillette MA, Carr SA. Cancer proteogenomics: current impact and future prospects. Nat Rev Cancer. 2022 05; 22(5):298-313.
Score: 0.030
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Sun H, Cao S, Mashl RJ, Mo CK, Zaccaria S, Wendl MC, Davies SR, Bailey MH, Primeau TM, Hoog J, Mudd JL, Dean DA, Patidar R, Chen L, Wyczalkowski MA, Jayasinghe RG, Rodrigues FM, Terekhanova NV, Li Y, Lim KH, Wang-Gillam A, Van Tine BA, Ma CX, Aft R, Fuh KC, Schwarz JK, Zevallos JP, Puram SV, Dipersio JF, Davis-Dusenbery B, Ellis MJ, Lewis MT, Davies MA, Herlyn M, Fang B, Roth JA, Welm AL, Welm BE, Meric-Bernstam F, Chen F, Fields RC, Li S, Govindan R, Doroshow JH, Moscow JA, Evrard YA, Chuang JH, Raphael BJ, Ding L. Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment. Nat Commun. 2021 08 24; 12(1):5086.
Score: 0.029
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Vasaikar S, Huang C, Wang X, Petyuk VA, Savage SR, Wen B, Dou Y, Zhang Y, Shi Z, Arshad OA, Gritsenko MA, Zimmerman LJ, McDermott JE, Clauss TR, Moore RJ, Zhao R, Monroe ME, Wang YT, Chambers MC, Slebos RJC, Lau KS, Mo Q, Ding L, Ellis M, Thiagarajan M, Kinsinger CR, Rodriguez H, Smith RD, Rodland KD, Liebler DC, Liu T, Zhang B. Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities. Cell. 2019 05 02; 177(4):1035-1049.e19.
Score: 0.025
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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