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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書目名稱Statistical Genomics影響因子(影響力)




書目名稱Statistical Genomics影響因子(影響力)學科排名




書目名稱Statistical Genomics網絡公開度




書目名稱Statistical Genomics網絡公開度學科排名




書目名稱Statistical Genomics被引頻次




書目名稱Statistical Genomics被引頻次學科排名




書目名稱Statistical Genomics年度引用




書目名稱Statistical Genomics年度引用學科排名




書目名稱Statistical Genomics讀者反饋




書目名稱Statistical Genomics讀者反饋學科排名

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Jingoism

Profiling Cellular Ecosystems at Single-Cell Resolution and at Scale with EcoTyper,tion of machine learning tools for the large-scale delineation of cellular ecosystems and their constituent cell states from bulk, single-cell, and spatially resolved gene expression data. In this chapter, we provide a primer on EcoTyper and demonstrate its use for the discovery and recovery of cell

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Analysis of Single-Cell RNA-seq Data,ools and workflows for analyzing the data have been developed. In this chapter, we describe a standard workflow and elaborate on relevant data analysis tools for analyzing single-cell RNA sequencing data. We provide recommendations for the appropriate use of commonly used methods, with code examples

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A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Tranthe spatial distribution of cell types, and their interactions. Furthermore, ST promises to enable the discovery of more accurate drug targets while also providing a better understanding of the etiology and evolution of complex diseases. The analysis of ST brings similar challenges as seen in other

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中國紀念碑

Statistical Analysis in ChIP-seq-Related Applications, protocol is quite flexible and mature to measure different types of protein binding as long as sequencing parameters are properly tailored to accommodate protein features. Two distinct types of protein binding are point-source-like binding by transcription factors and diffused-distribution binding