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Titlebook: Handbook of Statistical Bioinformatics; Henry Horng-Shing Lu,Bernhard Schölkopf,Hongyu Zha Book 2022Latest edition The Editor(s) (if appli

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Approaches to Marker Gene Identification from Single-Cell RNA-Sequencing Datarated and available for analysis. One significant problem for scRNA-seq is identifying and characterizing highly heterogeneous cell types. Many approaches have been devised to tackle this challenge, mostly utilizing the genetic expression patterns of cells to infer cell type. Research hopes to ident
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Model-Based Clustering of Single-Cell Omics Data cellular differences among thousands of cells. In addition to the revolutionary advances of single-cell RNA sequencing (scRNA-seq) in recent years, the emerging single-cell multimodal assays such as Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq), which simultaneously prof
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Integration of Boolean and Bayesian Networksto construct the gene networks, which represent a series of gene regulations. Bayesian network is a flexible method to reconstruct the network structure with relevant conditional probabilities. However, finding a proper network structure using Bayesian network is a tough problem. In contrast, Boolea
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