Bioconductor Gage package

Showing : gage package • reset

votes

replies

1.2k

views

gage package gage

7.2 years ago melkile26 • 0

vote

replies

1.6k

views

gage gage package gene expression matrix gene set analysis

7.3 years ago atakanekiz ▴ 30

votes

replies

3.3k

views

gage package error

updated 7.4 years ago by James W. MacDonald 68k • written 7.4 years ago by Miskey, Csaba ▴ 20

votes

replies

4.5k

views

gage gage package pathview rna-seq

updated 3.6 years ago by Helen • 0 • written 7.7 years ago by tarun2 • 0

votes

replies

2.6k

views

kegg geneset genelist gage package

updated 8.2 years ago by Gordon Smyth 53k • written 8.2 years ago by sup230 ▴ 30

vote

replies

1.8k

views

gage package deseq2

8.2 years ago sup230 ▴ 30

votes

replies

2.1k

views

gage gage package

updated 9.0 years ago by Luo Weijun ★ 1.6k • written 9.0 years ago by Michael • 0

vote

replies

1.9k

views

R gage package rnaseq pathview

9.2 years ago joanito.liberti • 0

votes

1.3k

views

gage package path.ids RNA-Seq

9.2 years ago rl1385 • 0

votes

replies

1.2k

views

t-test GAGE package Kolmogorov-Smirnov test Gene-Set enrichment

9.3 years ago smt8n • 0

10 results • Page 1 of 1

Recent ...

Replies

Comment: DESeq2 for candidate gene analysis by piffelpaff ▴ 10

thank you so much for answering Dr. Love!

Answer: DESeq2 for candidate gene analysis by Michael Love 43k

Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…

Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k

Oh. ``` > z <- read10xCounts(c(tmpdir, tmpdir), mtx.class = "SVT_SparseMatrix", delayed = TRUE) > class(counts(z)) [1] "DelayedMatrix" att…

Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k

That's weird. Using the example data works for me. ``` > example(read10xCounts) rd10xC> # Mocking up some 10X genomics output. rd10xC> ex…

Comment: Join BOC Sciences at Drug Discovery Chemistry by teamardigen • 0

Sounds like an exciting event for anyone passionate about small molecule innovation. The focus on discovery and optimization really drives …

Votes

Answer: DESeq2 for candidate gene analysis

DESeq2 for candidate gene analysis

Join BOC Sciences at Drug Discovery Chemistry

Drug datasets for RNA-seq

Comment: Check removeBatchEffect effectiveness

Awards • All