领域：生物产业 学校：复旦大学职称：教授
运用统计学、计算科学、生物信息学等手段进行算法开发，对组学数据进行整合分析并精确预测基因功能、基因-基因相互作用关系、基因表现型及疾病候选基因等；构建生物大分子网络模型鉴定基因模块、研究基因模块在疾病生物网络中的动态变化行为。
...
具体了解该专家信息，请致电：027-87555799 邮箱 haizhi@uipplus.com
1.Chen J, Ma M, Shen N, Xi J, Tian W*: Integration of cancer gene co-expression network and metabolic network to uncover potential cancer drug targets. J Proteome Res 2013 DOI: 10.1021/pr400162t.
2.Sun S, Dong X, Fu Y, Tian W* : An iterative network partition algorithm for accurate identification of dense network modules. Nucleic Acids Res 2012, 40(3):e18.
3.Fang Z, Tian W*, Ji H: A network-based gene-weighting approach for pathway analysis. Cell Res (2012) 22:565–580
4.Tian, W., L. V. Zhang, M. Tasan, F. Gibbson, O. King, Z. Wunderlich, J. Park, M. Cherry and F. P. Roth. (2008) “Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function”. Genome biology. 9 Suppl 1:S7.
5.Tian, W. and J. Skolnick (2003). "How well is enzyme function conserved as a function of pairwise sequence identity?" J Mol Biol 333(4): 863-82 (Faculty of 1000 Biology).
