Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis
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Published By Springer New York

9781493990566, 9781493990573

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Antigen Receptor Sequence Reconstruction and Clonality Inference from scRNA-Seq Data

Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis ◽

10.1007/978-1-4939-9057-3_15 ◽

2019 ◽

pp. 223-249 ◽

Cited By ~ 1

Author(s):

Ida Lindeman ◽

Michael J. T. Stubbington

Keyword(s):

Antigen Receptor ◽

Sequence Reconstruction

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Rare Cell Type Detection

Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis ◽

10.1007/978-1-4939-9057-3_5 ◽

2019 ◽

pp. 79-89

Author(s):

Lan Jiang

Keyword(s):

Cell Type ◽

Rare Cell Type

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Single-Cell Allele-Specific Gene Expression Analysis

Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis ◽

10.1007/978-1-4939-9057-3_11 ◽

2019 ◽

pp. 155-174 ◽

Cited By ~ 4

Author(s):

Meichen Dong ◽

Yuchao Jiang

Keyword(s):

Gene Expression ◽

Single Cell ◽

Expression Analysis ◽

Gene Expression Analysis ◽

Specific Gene ◽

Specific Gene Expression ◽

Allele Specific

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Normalization for Single-Cell RNA-Seq Data Analysis

Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis ◽

10.1007/978-1-4939-9057-3_2 ◽

2019 ◽

pp. 11-23

Author(s):

Rhonda Bacher

Keyword(s):

Data Analysis ◽

Single Cell ◽

Rna Seq

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Analysis of Technical and Biological Variability in Single-Cell RNA Sequencing

Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis ◽

10.1007/978-1-4939-9057-3_3 ◽

2019 ◽

pp. 25-43

Author(s):

Beomseok Kim ◽

Eunmin Lee ◽

Jong Kyoung Kim

Keyword(s):

Single Cell ◽

Rna Sequencing ◽

Biological Variability ◽

Single Cell Rna Sequencing

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Quality Control of Single-Cell RNA-seq

Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis ◽

10.1007/978-1-4939-9057-3_1 ◽

2019 ◽

pp. 1-9

Author(s):

Peng Jiang

Keyword(s):

Quality Control ◽

Single Cell ◽

Rna Seq

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A Hidden Markov Random Field Model for Detecting Domain Organizations from Spatial Transcriptomic Data

Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis ◽

10.1007/978-1-4939-9057-3_16 ◽

2019 ◽

pp. 251-268

Author(s):

Qian Zhu

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Hidden Markov ◽

Random Field Model ◽

Transcriptomic Data ◽

Markov Random Field Model ◽

Markov Random ◽

Hidden Markov Random Field

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Using BRIE to Detect and Analyze Splicing Isoforms in scRNA-Seq Data

Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis ◽

10.1007/978-1-4939-9057-3_12 ◽

2019 ◽

pp. 175-185 ◽

Cited By ~ 1

Author(s):

Yuanhua Huang ◽

Guido Sanguinetti

Keyword(s):

Splicing Isoforms

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Experimental and Computational Approaches for Single-Cell Enhancer Perturbation Assay

Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis ◽

10.1007/978-1-4939-9057-3_14 ◽

2019 ◽

pp. 203-221 ◽

Cited By ~ 1

Author(s):

Shiqi Xie ◽

Gary C. Hon

Keyword(s):

Single Cell ◽

Computational Approaches

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Inference of Gene Co-expression Networks from Single-Cell RNA-Sequencing Data

Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis ◽

10.1007/978-1-4939-9057-3_10 ◽

2019 ◽

pp. 141-153 ◽

Cited By ~ 3

Author(s):

Alicia T. Lamere ◽

Jun Li

Keyword(s):

Single Cell ◽

Rna Sequencing ◽

Sequencing Data ◽

Single Cell Rna Sequencing

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Methods in Molecular Biology - Computational Methods for Single-Cell Data AnalysisLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Antigen Receptor Sequence Reconstruction and Clonality Inference from scRNA-Seq Data

Rare Cell Type Detection

Single-Cell Allele-Specific Gene Expression Analysis

Normalization for Single-Cell RNA-Seq Data Analysis

Analysis of Technical and Biological Variability in Single-Cell RNA Sequencing

Quality Control of Single-Cell RNA-seq

A Hidden Markov Random Field Model for Detecting Domain Organizations from Spatial Transcriptomic Data

Using BRIE to Detect and Analyze Splicing Isoforms in scRNA-Seq Data

Experimental and Computational Approaches for Single-Cell Enhancer Perturbation Assay

Inference of Gene Co-expression Networks from Single-Cell RNA-Sequencing Data

Methods in Molecular Biology - Computational Methods for Single-Cell Data Analysis
Latest Publications