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Computational methods for single-cell data analysis
- Available as
- Online
- Physical
Details
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- Creator
- edited by Guo-Cheng Yuan
- Format
- Books
- Language
- English
- Contributors
- Publication
-
- New York : Humana Press, [2019]
- Physical Details
-
- x, 271 pages : illustrations (some color) ; 26 cm
- ISBNs
- 1493990578, 149399056X, 9781493990566, 9781493990573
- OCLC
- on1085544841, on1057652965
- Includes bibliographical references and index.
- Quality control of single-cell RNA-seq / Peng Jiang -- Normalization for single-cell RNA-seq data analysis / Rhonda Bacher -- Analysis of technical and biological variability in single-cell RNA sequencing / Beomseok Kim, Eunmin Lee, and Jong Kyoung Kim -- Identification of cell types from single-cell transcriptomic data / Karthik Shekhar and Vilas Menon -- Rare cell type detection / Lan Jiang -- scMCA : a tool to define mouse cell types based on single-cell digital expression / Huiyu Sun, Yincong Zhou, Lijiang Fei, Haide Chen, and Guoji Guo -- Differential pathway analysis / Jean Fan -- Pseudotime reconstruction using TSCAN / Zhicheng Ji and Hongkai Ji -- Estimating differentiation potency of single cells using single-cell entropy (SCENT) / Weiyan Chen and Andrew E. Teschendorff -- Inference of gene co-expression networks from single-cell RNA-sequencing data / Alicia T. Lamere and Jun Li -- Single-cell allele-specific gene expression analysis / Meichen Dong and Yuchao Jiang -- Using BRIE to detect and analyze splicing isoforms in scRNA-Seq data / Yuanhua Huang and Guido Sanguinetti -- Preprocessing and computational analysis of single-cell epigenomic datasets / Caleb Lareau, Divy Kangeyan, and Martin J. Aryee -- Experimental and computational approaches for single-cell enhancer perturbation assay / Shiqi Xie and Gary C. Hon -- Antigen receptor sequence reconstruction and clonality inference from scRNA-Seq data / Ida Lindeman and Michael J. T. Stubbington -- Hidden markov random field model for detecting domain organizations from spatial transcriptomic data / Qian Zhu
Subjects
- Cytology -- Research -- Laboratory manuals.
- Single-Cell Analysis -- methods.
Medical Subject Heading