Methods in Molecular Biology - Deep Sequencing Data Analysis
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Published By Springer US

9781071611029, 9781071611036

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Overcoming Interpretability in Deep Learning Cancer Classification

Methods in Molecular Biology - Deep Sequencing Data Analysis ◽

10.1007/978-1-0716-1103-6_15 ◽

2021 ◽

pp. 297-309

Author(s):

Yue Yang (Alan) Teo ◽

Artem Danilevsky ◽

Noam Shomron

Keyword(s):

Deep Learning ◽

Cancer Classification

DNA Data Collection and Analysis in the Forensic Arena

Methods in Molecular Biology - Deep Sequencing Data Analysis ◽

10.1007/978-1-0716-1103-6_19 ◽

2021 ◽

pp. 355-368

Author(s):

Sydnie Grabell ◽

Noam Shomron

Keyword(s):

Data Collection ◽

Data Collection And Analysis

Detecting Causal Variants in Mendelian Disorders Using Whole-Genome Sequencing

Methods in Molecular Biology - Deep Sequencing Data Analysis ◽

10.1007/978-1-0716-1103-6_1 ◽

2021 ◽

pp. 1-25

Author(s):

Abdul Rezzak Hamzeh ◽

T. Daniel Andrews ◽

Matt A. Field

Keyword(s):

Whole Genome Sequencing ◽

Genome Sequencing ◽

Whole Genome ◽

Mendelian Disorders ◽

Causal Variants

Improved Analysis of High-Throughput Sequencing Data Using Small Universal k-Mer Hitting Sets

Methods in Molecular Biology - Deep Sequencing Data Analysis ◽

10.1007/978-1-0716-1103-6_5 ◽

2021 ◽

pp. 95-105

Author(s):

Yaron Orenstein

Keyword(s):

High Throughput ◽

High Throughput Sequencing ◽

Sequencing Data ◽

Hitting Sets ◽

High Throughput Sequencing Data

Single-Cell Transcriptome Profiling

Methods in Molecular Biology - Deep Sequencing Data Analysis ◽

10.1007/978-1-0716-1103-6_16 ◽

2021 ◽

pp. 311-325

Author(s):

Guy Shapira ◽

Noam Shomron

Keyword(s):

Single Cell ◽

Transcriptome Profiling ◽

Cell Transcriptome ◽

Single Cell Transcriptome

Processing and Analysis of RNA-seq Data from Public Resources

Methods in Molecular Biology - Deep Sequencing Data Analysis ◽

10.1007/978-1-0716-1103-6_4 ◽

2021 ◽

pp. 81-94

Author(s):

Yazeed Zoabi ◽

Noam Shomron

Keyword(s):

Rna Seq ◽

Public Resources

Deep Learning Applied on Next Generation Sequencing Data Analysis

Methods in Molecular Biology - Deep Sequencing Data Analysis ◽

10.1007/978-1-0716-1103-6_9 ◽

2021 ◽

pp. 169-182

Author(s):

Artem Danilevsky ◽

Noam Shomron

Keyword(s):

Deep Learning ◽

Data Analysis ◽

Next Generation Sequencing ◽

Next Generation Sequencing Data ◽

Next Generation ◽

Sequencing Data ◽

Generation Sequencing ◽

Sequencing Data Analysis

Biological Perspectives of RNA-Sequencing Experimental Design

Methods in Molecular Biology - Deep Sequencing Data Analysis ◽

10.1007/978-1-0716-1103-6_17 ◽

2021 ◽

pp. 327-337

Author(s):

Metsada Pasmanik-Chor

Keyword(s):

Experimental Design ◽

Rna Sequencing

Multiregion Sequence Analysis to Predict Intratumor Heterogeneity and Clonal Evolution

Methods in Molecular Biology - Deep Sequencing Data Analysis ◽

10.1007/978-1-0716-1103-6_14 ◽

2021 ◽

pp. 283-296

Author(s):

Soyeon Ahn ◽

Haiyan Huang

Keyword(s):

Sequence Analysis ◽

Clonal Evolution ◽

Intratumor Heterogeneity

Statistical Considerations on NGS Data for Inferring Copy Number Variations

Methods in Molecular Biology - Deep Sequencing Data Analysis ◽

10.1007/978-1-0716-1103-6_2 ◽

2021 ◽

pp. 27-58

Author(s):

Jie Chen

Keyword(s):

Copy Number ◽

Copy Number Variations ◽

Ngs Data

Methods in Molecular Biology - Deep Sequencing Data AnalysisLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer US

Overcoming Interpretability in Deep Learning Cancer Classification

DNA Data Collection and Analysis in the Forensic Arena

Detecting Causal Variants in Mendelian Disorders Using Whole-Genome Sequencing

Improved Analysis of High-Throughput Sequencing Data Using Small Universal k-Mer Hitting Sets

Single-Cell Transcriptome Profiling

Processing and Analysis of RNA-seq Data from Public Resources

Deep Learning Applied on Next Generation Sequencing Data Analysis

Biological Perspectives of RNA-Sequencing Experimental Design

Multiregion Sequence Analysis to Predict Intratumor Heterogeneity and Clonal Evolution

Statistical Considerations on NGS Data for Inferring Copy Number Variations

Methods in Molecular Biology - Deep Sequencing Data Analysis
Latest Publications