Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions.
about
Comparison of alternative approaches for analysing multi-level RNA-seq data.RNA-sequence data normalization through in silico prediction of reference genes: the bacterial response to DNA damage as case study.Smooth quantile normalization.Transcriptional interference by small transcripts in proximal promoter regions.The Challenge of Analyzing the Sugarcane Genome.zUMIs - A fast and flexible pipeline to process RNA sequencing data with UMIs.-Value Histograms: Inference and Diagnostics
P2860
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P2860
Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions.
description
2017 nî lūn-bûn
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2017年の論文
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2017年論文
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2017年論文
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2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
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name
Selecting between-sample RNA-S ...... spective of their assumptions.
@en
type
label
Selecting between-sample RNA-S ...... spective of their assumptions.
@en
prefLabel
Selecting between-sample RNA-S ...... spective of their assumptions.
@en
P2860
P356
P1476
Selecting between-sample RNA-S ...... spective of their assumptions.
@en
P2093
Ciaran Evans
Johanna Hardin
P2860
P356
10.1093/BIB/BBX008
P577
2017-02-27T00:00:00Z