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Titlebook: Systems Biology and Regulatory Genomics; Joint Annual RECOMB Eleazar Eskin,Trey Ideker,Christopher Workman Conference proceedings 2006 Spr

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樓主: Clinton
41#
發(fā)表于 2025-3-28 18:04:35 | 只看該作者
0302-9743 Overview: 978-3-540-48293-2978-3-540-48540-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
42#
發(fā)表于 2025-3-28 22:25:51 | 只看該作者
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發(fā)表于 2025-3-29 00:33:30 | 只看該作者
44#
發(fā)表于 2025-3-29 05:16:47 | 只看該作者
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發(fā)表于 2025-3-29 07:35:46 | 只看該作者
The Pathalyzer: A Tool for Analysis of Signal Transduction Pathways,nsitions and places in a safe Petri net. The user can interactively specify goal states, such as activation of a particular protein in a particular cell site, and the system will automatically find and display a pathway that results in the goal state – if possible. The user can also require that the
46#
發(fā)表于 2025-3-29 12:48:28 | 只看該作者
Decomposition of Overlapping Protein Complexes: A Graph Theoretical Method for Analyzing Static andthat enables automatic construction of such representation. The proposed representation helps in understanding the transitions between functional groups and allows for tracking a protein’s path through a cascade of functional groups. Therefore, depending on the nature of the network, our representat
47#
發(fā)表于 2025-3-29 15:39:34 | 只看該作者
48#
發(fā)表于 2025-3-29 21:39:51 | 只看該作者
Characterization of the Effects of TF Binding Site Variations on Gene Expression Towards Predictingies that focused mainly on coding SNPs, our efforts were centered around variations in regulatory regions and specifically within transcription factor (TF) binding sites. We have compiled a comprehensive collection of genome wide TF binding sites and developed computational measures to estimate the
49#
發(fā)表于 2025-3-30 02:01:25 | 只看該作者
50#
發(fā)表于 2025-3-30 05:33:56 | 只看該作者
Improvement of Computing Times in Boolean Networks Using Chi-square Tests,awback that requires heavy computing times to infer large scale gene networks. This paper proposes a variable selection method to reduce Boolean network computing times using the chi-square statistics for testing independence in two way contingency tables. We compare the computing times and the accu
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