Bioconductor BSgenome.Hsapiens.UCSC.hg19

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BSgenome.Hsapiens.UCSC.hg19

updated 3.1 years ago by Cheyujlee • 0 • written 3.4 years ago by pegah.taklifi ▴ 30

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BSgenome.Hsapiens.UCSC.hg19 HarvardX Introduction to Bioconductor

updated 23 months ago by James W. MacDonald 65k • written 3.7 years ago by m.steinruecke • 0

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ucsc bsgenome.hsapiens.ucsc.hg19

updated 8.2 years ago by Martin Morgan 25k • written 8.2 years ago by Sushant Pawar • 0

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BSgenome.Hsapiens.UCSC.hg19

updated 8.5 years ago by Hervé Pagès 16k • written 8.5 years ago by Julie Zhu ★ 4.3k

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BSgenome.Hsapiens.UCSC.hg19

updated 2.1 years ago by Hervé Pagès 16k • written 2.1 years ago by Bogdan ▴ 670

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matchProbePair BSgenome Biostrings BSgenome.Hsapiens.UCSC.hg19

updated 5.0 years ago by James W. MacDonald 65k • written 5.0 years ago by svetlana.gorokhova • 0

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BSgenome.Hsapiens.UCSC.hg19 AnnotationDbi

6 months ago Erica • 0

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bsgenome.hsapiens.ucsc.hg19 hg19

updated 6.5 years ago by Mike Smith ★ 6.5k • written 6.5 years ago by addyS • 0

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BSgenome.Hsapiens.UCSC.hg19 rtracklayer AnnotationHub

20 months ago Lenny186 • 0

9 results • Page 1 of 1

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Answer: Differential gene expression analysis results by ATpoint ★ 4.1k

Pease do not open multiple posts for the same issue: https://support.bioconductor.org/p/9158194/#9158222 The support site is not meant f…

Comment: deseq2 results by sajadahmad41454 • 0

thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.

Comment: deseq2 results by swbarnes2 ★ 1.4k

It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…

Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Dylan.Sheerin • 0

Thank you very much, Gordon. I'll give voomLmFit a go!

Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Gordon Smyth 50k

Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…

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Comment: deseq2 results

Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie

Answer: Extremely small p-values using Limma for proteomic data

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