| 书目名称 | Systems Biology for Signaling Networks | | 编辑 | Sangdun Choi | | 视频video | | | 概述 | Systems Biology encompasses the knowledge from diverse fields such as Molecular Biology, Immunology, Genetics, Computational Biology, Mathematical Biology, etc..Systems Biology not only to addresses k | | 丛书名称 | Systems Biology | | 图书封面 |  | | 描述 | System Biology encompasses the knowledge from diverse fields such as Molecular Biology, Immunology, Genetics, Computational Biology, Mathematical Biology, etc. not only to address key questions that are not answerable by individual fields alone, but also to help in our understanding of the complexities of biological systems. Whole genome expression studies have provided us the means of studying the expression of thousands of genes under a particular condition and this technique had been widely used to find out the role of key macromolecules that are involved in biological signaling pathways. However, making sense of the underlying complexity is only possible if we interconnect various signaling pathways into human and computer readable network maps. These maps can then be used to classify and study individual components involved in a particular phenomenon. Apart from transcriptomics, several individual gene studies have resulted in adding to our knowledge of key components that are involved in a signaling pathway. It therefore becomes imperative to take into account of these studies also, while constructing our network maps to highlight the interconnectedness of the entire signalin | | 出版日期 | Book 2010 | | 关键词 | Endoplasmatisches Reticulum; Microarray; data mining; gene expression; genes; genetics; genome; molecular b | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-5797-9 | | isbn_softcover | 978-1-4939-3962-6 | | isbn_ebook | 978-1-4419-5797-9Series ISSN 2191-222X Series E-ISSN 2191-2238 | | issn_series | 2191-222X | | copyright | Springer Science+Business Media, LLC 2010 |
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发表于 2025-3-21 16:21:12
