机译:跨物种监管网络分析识别Foxm1和CENPF之间的协同互动,推动前列腺癌恶性肿瘤
Department of Urology Columbia University Medical Center New York NY 10032 United States;
Department of Systems Biology Columbia University Medical Center New York NY 10032 United States;
Department of Systems Biology Columbia University Medical Center New York NY 10032 United;
Department of Systems Biology Columbia University Medical Center New York NY 10032 United States;
Department of Pathology Icahn School of Medicine at Mount Sinai New York NY 10029 United States;
Herbert Irving Comprehensive Cancer Center Columbia University Medical Center New York NY 10032;
Department of Urology Memorial Sloan Kettering Cancer Center New York NY 10065 United States;
Department of Pathology Memorial Sloan Kettering Cancer Center New York NY 10065 United States;
The University of Michigan Ann Arbor MI 48109 United States Brady Urological Institute at the;
Department of Urology Columbia University Medical Center New York NY 10032 United States;
Department of Systems Biology Columbia University Medical Center New York NY 10032 United;
Department of Urology Columbia University Medical Center New York NY 10032 United States;
机译:回复:跨物种监管网络分析确定了FOXM1和CENPF之间的协同相互作用,从而导致前列腺癌恶性发展编辑评论
机译:基于识别非小细胞肺癌调控基序的microRNA和转录因子协同调控网络功能分析
机译:根据转录因子分析和条件独立性,从微阵列数据中识别出前列腺癌中重要的基因调控网络
机译:人类ERβ和SRC-1蛋白中生物分子的优化相互作用和构象转换:抑制乳腺癌恶性肿瘤的计算机方法:抑制乳腺癌恶性肿瘤发生的计算机洞察
机译:通过组合筛选和分析方法鉴定协同抗癌药物相互作用的机理。
机译:对全基因组调控网络的跨物种分析确定了FOXM1与CENPF之间的协同相互作用从而驱动前列腺癌恶性肿瘤
机译:跨物种监管网络分析确定了FOXM1和CENPF之间的协同相互作用,从而导致前列腺癌的恶性程度。
机译:Foxm1在前列腺癌发病机制中的作用