Log In
Sign Up
about
faq
Ask a question
Latest
News
Jobs
Tutorials
Tags
Users
New Post
Latest
News
Jobs
Tutorials
Tags
Users
Log In
Sign Up
About
Limit
all time
today
this week
this month
this year
Unanswered
All posts
Sort
Update
Answers
Bookmarks
Creation
Replies
Rank
Views
Votes
Showing :
feature selection
•
reset
0
votes
5
replies
2.5k
views
Choosing genes for clustering
limma
clustering
differential gene expression
hierarchical clustering
feature selection
6.7 years ago • updated 6.6 years ago
lirongrossmann
▴ 80
0
votes
2
replies
1.2k
views
feature reduction using machine learning
rnaseq
machine learning
feature selection
updated 5.4 years ago by
chris86
▴ 420 • written 5.5 years ago by
marak
• 0
2
votes
5
replies
3.8k
views
How to use t.test to select best features out of multiple features?
microarray
biobase
feature selection
t.test
R
updated 8.7 years ago by
svlachavas
▴ 830 • written 8.7 years ago by
babumanish837
▴ 10
0
votes
0
replies
446
views
How can I fix and run "sigCVError" function ?
sigFeature
svm-rfe
sigCVError
feature selection
3.9 years ago
rekren
▴ 20
4 results • Page
1 of 1
Recent ...
Replies
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…
Comment: Log-cpm values from limma
by
Gordon Smyth
50k
No, it does not mean that. `voom()` uses the design matrix with the W covariates, to compute precision weights but not to adjust the log-cp…
Votes
Comment: deseq2 results
Comment: deseq2 results
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
Answer: Extremely small p-values using Limma for proteomic data
Bioconductor 3.19 is Released!
Awards
• All
Popular Question
to
neilzhao
▴ 30
Popular Question
to
ATpoint
★ 4.1k
Teacher
to
Michael Love
42k
Popular Question
to
Haibo Liu
• 0
Popular Question
to
HS
▴ 10
Locations
• All
United States,
1 minute ago
Hong Kong,
20 minutes ago
Germany,
44 minutes ago
Germany,
51 minutes ago
Egypt,
58 minutes ago
Traffic: 605 users visited in the last hour
Content
Search
Users
Tags
Badges
Help
About
FAQ
Access
RSS
API
Stats
Use of this site constitutes acceptance of our
User Agreement and Privacy Policy
.
Powered by the
version 2.3.6