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PreviewIssue DateTitleAuthor(s)
2019CBNA: a control theory based method for identifying coding and non-coding cancer driversPham, V.V.H.; Liu, L.; Bracken, C.P.; Goodall, G.J.; Long, Q.; Li, J.; Le, T.D.; Ioshikhes, I.
2013Next-Generation Sequence Analysis of Cancer Xenograft ModelsRossello, F.J.; Tothill, R.W.; Britt, K.; Marini, K.D.; Falzon, J.; Thomas, D.M.; Peacock, C.D.; Marchionni, L.; Li, J.; Bennett, S.; Tantoso, E.; Brown, T.; Chan, P.; Martelotto, L.G.; Watkins, D.N.; Coleman, W.B.
2013Inferring microRNA-mRNA causal regulatory relationships from expression dataLe, T.; Liu, L.; Tsykin, A.; Goodall, G.; Liu, B.; Sun, B.; Li, J.
2010Identifying functional miRNA-mRNA regulatory module with correspondence latent dirichlet allocationLiu, B.; Liu, L.; Tsykin, A.; Goodall, G.; Green, J.; Zhu, M.; Kim, C.; Li, J.
2009Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategyLiu, B.; Li, J.; Tsykin, A.; Liu, L.; Gaur, A.; Goodall, G.
2013Inferring microRNA and transcription factor regulatory networks in heterogeneous dataLe, T.; Liu, L.; Liu, B.; Tsykin, A.; Goodall, G.; Satou, K.; Li, J.
2018Clinical utility of a STAT3-regulated miRNA-200 family signature with prognostic potential in early gastric cancerYu, L.; Di, W.; Gao, H.; Balic, J.; Tsykin, A.; Han, T.-S.; Liu, Y.; Kennedy, C.; Li, J.; Mao, J.; Tan, P.; Oshima, M.; Goodall, G.; Jenkins, B.
2012Comprehensive transcriptome and immunophenotype analysis of renal and cardiac MSC-like populations supports strong congruence with bone marrow MSC despite maintenance of distinct identitiesPelekanos, R.A.; Li, J.; Gongora, M.; Chandrakanthan, V.; Scown, J.; Suhaimi, N.; Brooke, G.; Christensen, M.E.; Doan, T.; Rice, A.M.; Osborne, G.W.; Grimmond, S.M.; Harvey, R.P.; Atkinson, K.; Little, M.H.

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