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Titlebook: Statistical Genomics; Brooke Fridley,Xuefeng Wang Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to Sp

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31#
發(fā)表于 2025-3-26 21:39:20 | 只看該作者
978-1-0716-2988-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
32#
發(fā)表于 2025-3-27 04:01:34 | 只看該作者
Statistical Genomics978-1-0716-2986-4Series ISSN 1064-3745 Series E-ISSN 1940-6029
33#
發(fā)表于 2025-3-27 06:29:07 | 只看該作者
34#
發(fā)表于 2025-3-27 12:02:12 | 只看該作者
35#
發(fā)表于 2025-3-27 16:16:59 | 只看該作者
36#
發(fā)表于 2025-3-27 19:17:18 | 只看該作者
37#
發(fā)表于 2025-3-28 01:43:49 | 只看該作者
38#
發(fā)表于 2025-3-28 03:34:04 | 只看該作者
Bioinformatic and Statistical Analysis of Microbiome Data,t-microbiome association. Understanding the advantages and limitations of the analysis methods will help readers use the methods correctly in microbiome data analysis and may give a new opportunity to develop new analytic techniques for microbiome research.
39#
發(fā)表于 2025-3-28 09:33:59 | 只看該作者
Statistical and Computational Methods for Microbial Strain Analysis,enome sequences are needed, how SNVs are called, what methods of deconvolution are used and whether the methods can be applied to multiple samples. We conclude our review with areas that require further research.
40#
發(fā)表于 2025-3-28 12:58:22 | 只看該作者
Statistical and Computational Methods for Proteogenomic Data Analysis,analysis, we will first introduce a data preprocessing and quality control pipeline that includes normalization, outlier detection and removal, batch effect identification and handling, and missing data imputation. Then, we will describe several statistical methods that leverage well-processed prote
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