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Implementing personalised medicine using global genomic similarity

Project Member(s): Catchpoole, D., Kennedy, P.

Funding or Partner Organisation: Cancer Institute NSW (Cancer Institute NSW - Research Innovation Grant (RFG))

Start year: 2011


Mayoh, C, Gifford, AJ, Terry, R, Lau, LMS, Wong, M, Rao, P, Shai-Hee, T, Saletta, F, Khuong-Quang, D-A, Qin, V, Mateos, MK, Meyran, D, Miller, KE, Yuksel, A, Mould, EVA, Bowen-James, R, Govender, D, Senapati, A, Zhukova, N, Omer, N, Dholaria, H, Alvaro, F, Tapp, H, Diamond, Y, Pozza, LD, Moore, AS, Nicholls, W, Gottardo, NG, McCowage, G, Hansford, JR, Khaw, S-L, Wood, PJ, Catchpoole, D, Cottrell, CE, Mardis, ER, Marshall, GM, Tyrrell, V, Haber, M, Ziegler, DS, Vittorio, O, Trapani, JA, Cowley, MJ, Neeson, PJ & Ekert, PG, 'A novel transcriptional signature identifies T-cell infiltration in high-risk paediatric cancer', Genome Medicine, vol. 15, no. 1.
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FOR Codes: Bioinformatics, Pattern Recognition and Data Mining, Cancer Diagnosis, Cancer and Related Disorders, Computer Software and Services not elsewhere classified, Bioinformatics and computational biology, Data mining and knowledge discovery, Information systems, technologies and services, Clinical health