aphasia 发表于 2025-3-25 03:23:59
Book 2012one tailored to a specific data situation..Network Inference in Molecular Biology. is intended for advanced-level students and researchers as a reference guide. Practitioners and professionals working in a related field will also find this book valuable..不溶解 发表于 2025-3-25 11:16:57
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Book 2012s. While researchers have developed techniques to find some of the underlying network structure, there is still no one-size-fits-all algorithm for every data set. .Network Inference in Molecular Biology. examines the current techniques used by researchers, and provides key insights into which algori独行者 发表于 2025-3-25 16:52:35
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Clustering Data,ps even make certain relationships stronger!). For example, if there are two genes that both behave in exactly the same way across the experimental conditions of interest, then little to no information is lost if you treat them as though they were a single “gene”.resistant 发表于 2025-3-26 03:03:28
Step 2: Use Steady State Data for Network Inference,re genes have been knocked out, overexpressed, or otherwise perturbed. If you know what happens to the network when a gene is missing or when it has been perturbed, it is easier to infer which genes it influences.Embolic-Stroke 发表于 2025-3-26 08:21:18
Step 3: Using Time-Series Data,pes of algorithms will be presented in this section: mutual information, ordinary differential equations with l1 regularization, and dynamic Bayesian Networks. Each of these approaches makes different assumptions about the data.小母马 发表于 2025-3-26 11:39:37
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SpringerBriefs in Electrical and Computer Engineeringhttp://image.papertrans.cn/n/image/662807.jpgOligarchy 发表于 2025-3-26 17:46:37
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