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Titlebook: Computational Cancer Biology; An Interaction Netwo Mathukumalli Vidyasagar Book 2012 The Author(s) 2012 Biologically-derived Control System

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樓主: probiotic
11#
發(fā)表于 2025-3-23 10:26:00 | 只看該作者
2191-8112 eading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems.978-1-4471-4750-3978-1-4471-4751-0Series ISSN 2191-8112 Series E-ISSN 2191-8120
12#
發(fā)表于 2025-3-23 17:37:35 | 只看該作者
Some Research Directions,e expression profile plays a role in discriminating between drivers and passengers. Preliminary evidence from colorectal cancer is examined, and it is suggested that further studies should be carried out using recently published comprehensive analysis of colorectal cancer.
13#
發(fā)表于 2025-3-23 19:35:00 | 只看該作者
14#
發(fā)表于 2025-3-24 01:15:47 | 只看該作者
15#
發(fā)表于 2025-3-24 02:53:50 | 只看該作者
SpringerBriefs in Electrical and Computer Engineeringhttp://image.papertrans.cn/c/image/232157.jpg
16#
發(fā)表于 2025-3-24 09:14:30 | 只看該作者
17#
發(fā)表于 2025-3-24 11:52:49 | 只看該作者
18#
發(fā)表于 2025-3-24 17:54:42 | 只看該作者
,Cu9Al(AsO4)2(SO4)1.5(OH)12?18H2O,data. These include the .-text, the Kolmogorov–Smirnov (K–S) test for goodness of fit, the ‘student’ .-test for testing the null hypothesis that two sets of data have the same mean, Significance Analysis for Microarrays (SAM), Pattern Analysis for Microarrays (PAM) and Gene Set Enhancement Analysis (GSEA).
19#
發(fā)表于 2025-3-24 21:43:01 | 只看該作者
Space groups (148) R-3-(141)I41/amdtudies, ChIP-seq studies, siRNAs, and micro-RNAs. Special features of biological data that necessitate the development of new algorithms are highlighted, such as the lack of standardization in experimental procedures that lead in turn to broad variability of the data sets.
20#
發(fā)表于 2025-3-24 23:20:12 | 只看該作者
,Cu9Al(AsO4)2(SO4)1.5(OH)12?18H2O,data. These include the .-text, the Kolmogorov–Smirnov (K–S) test for goodness of fit, the ‘student’ .-test for testing the null hypothesis that two sets of data have the same mean, Significance Analysis for Microarrays (SAM), Pattern Analysis for Microarrays (PAM) and Gene Set Enhancement Analysis
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