 Connection
Casey Greene to Cell Line, Tumor
This is a "connection" page, showing publications Casey Greene has written about Cell Line, Tumor.
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Connection Strength |
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0.232 |
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Way GP, Sanchez-Vega F, La K, Armenia J, Chatila WK, Luna A, Sander C, Cherniack AD, Mina M, Ciriello G, Schultz N, Sanchez Y, Greene CS. Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas. Cell Rep. 2018 04 03; 23(1):172-180.e3.
Score: 0.095
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Way GP, Allaway RJ, Bouley SJ, Fadul CE, Sanchez Y, Greene CS. A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma. BMC Genomics. 2017 02 06; 18(1):127.
Score: 0.087
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Rokita JL, Rathi KS, Cardenas MF, Upton KA, Jayaseelan J, Cross KL, Pfeil J, Egolf LE, Way GP, Farrel A, Kendsersky NM, Patel K, Gaonkar KS, Modi A, Berko ER, Lopez G, Vaksman Z, Mayoh C, Nance J, McCoy K, Haber M, Evans K, McCalmont H, Bendak K, B?hm JW, Marshall GM, Tyrrell V, Kalletla K, Braun FK, Qi L, Du Y, Zhang H, Lindsay HB, Zhao S, Shu J, Baxter P, Morton C, Kurmashev D, Zheng S, Chen Y, Bowen J, Bryan AC, Leraas KM, Coppens SE, Doddapaneni H, Momin Z, Zhang W, Sacks GI, Hart LS, Krytska K, Mosse YP, Gatto GJ, Sanchez Y, Greene CS, Diskin SJ, Vaske OM, Haussler D, Gastier-Foster JM, Kolb EA, Gorlick R, Li XN, Reynolds CP, Kurmasheva RT, Houghton PJ, Smith MA, Lock RB, Raman P, Wheeler DA, Maris JM. Genomic Profiling of Childhood Tumor Patient-Derived Xenograft Models to Enable Rational Clinical Trial Design. Cell Rep. 2019 11 05; 29(6):1675-1689.e9.
Score: 0.026
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Knijnenburg TA, Wang L, Zimmermann MT, Chambwe N, Gao GF, Cherniack AD, Fan H, Shen H, Way GP, Greene CS, Liu Y, Akbani R, Feng B, Donehower LA, Miller C, Shen Y, Karimi M, Chen H, Kim P, Jia P, Shinbrot E, Zhang S, Liu J, Hu H, Bailey MH, Yau C, Wolf D, Zhao Z, Weinstein JN, Li L, Ding L, Mills GB, Laird PW, Wheeler DA, Shmulevich I, Monnat RJ, Xiao Y, Wang C. Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas. Cell Rep. 2018 04 03; 23(1):239-254.e6.
Score: 0.024
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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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