共查询到20条相似文献,搜索用时 328 毫秒
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Novel Regulatory Factors Interacting with the Promoter of the Gene Encoding the mRNA Cap Binding Protein (eIF4E) and Their Function in Growth Regulation 总被引:1,自引:0,他引:1 下载免费PDF全文
Kelly A. Johnston Michael Polymenis Shanping Wang John Branda Emmett V. Schmidt 《Molecular and cellular biology》1998,18(10):5621-5633
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Human T-Cell Leukemia Virus Type 1 Tax Protein Abrogates Interleukin-2 Dependence in a Mouse T-Cell Line 总被引:5,自引:3,他引:2 下载免费PDF全文
Youichi Iwanaga Tomonori Tsukahara Takashi Ohashi Yuetsu Tanaka Masaaki Arai Masataka Nakamura Kiyoshi Ohtani Yoshihiro Koya Mari Kannagi Naoki Yamamoto Masahiro Fujii 《Journal of virology》1999,73(2):1271-1277
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Shu-Qin Zhang Morihiro Hayashida Tatsuya Akutsu Wai-Ki Ching Michael K Ng 《EURASIP Journal on Bioinformatics and Systems Biology》2007,2007(1):20180
A Boolean network is a model used to study the interactions between different genes in genetic regulatory networks. In this paper, we present several algorithms using gene ordering and feedback vertex sets to identify singleton attractors and small attractors in Boolean networks. We analyze the average case time complexities of some of the proposed algorithms. For instance, it is shown that the outdegree-based ordering algorithm for finding singleton attractors works in time for , which is much faster than the naive time algorithm, where is the number of genes and is the maximum indegree. We performed extensive computational experiments on these algorithms, which resulted in good agreement with theoretical results. In contrast, we give a simple and complete proof for showing that finding an attractor with the shortest period is NP-hard.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32] 相似文献
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