Comprehensive evaluation of RNA-seq quantification methods for linearity
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Alignment-free sequence comparison: benefits, applications, and tools.Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).Data Analysis Pipeline for RNA-seq Experiments: From Differential Expression to Cryptic Splicing.Quantifying tumor-infiltrating immune cells from transcriptomics data.
P2860
Comprehensive evaluation of RNA-seq quantification methods for linearity
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2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
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Comprehensive evaluation of RNA-seq quantification methods for linearity
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Comprehensive evaluation of RNA-seq quantification methods for linearity
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Comprehensive evaluation of RNA-seq quantification methods for linearity
@ast
Comprehensive evaluation of RNA-seq quantification methods for linearity
@en
prefLabel
Comprehensive evaluation of RNA-seq quantification methods for linearity
@ast
Comprehensive evaluation of RNA-seq quantification methods for linearity
@en
P2860
P1433
P1476
Comprehensive evaluation of RNA-seq quantification methods for linearity
@en
P2093
Haijing Jin
Ying-Wooi Wan
P2860
P2888
P356
10.1186/S12859-017-1526-Y
P433
P50
P577
2017-03-22T00:00:00Z
P6179
1084249916