User: marak

gravatar for marak
marak0
Reputation:
0
Status:
New User
Last seen:
4 months, 1 week ago
Joined:
6 months, 2 weeks ago
Email:
m**************@gmail.com

Profile information, website and location are not shown for new users.

This helps us discourage the inappropriate use of our site.

Posts by marak

<prev • 10 results • page 1 of 1 • next >
0
votes
1
answer
115
views
1
answers
Comment: C: RNA seq data
... Then  why  this site in  post tag present with the option of machine learning if their is no help regarding machine learning.... Firstly remove that    ...
written 4 months ago by marak0
0
votes
1
answer
115
views
1
answers
Comment: C: RNA seq data
... i don,t want to use bio conductor packages i want to use machine learning algorithms Can you help me? ...
written 4 months ago by marak0
0
votes
1
answer
115
views
1
answer
RNA seq data
... i have Htseq-count RNA seq data .Can anybody guide me what values show that a gene is up regulated or down regulated in a particular sample.. ...
rnaseq analysis written 4 months ago by marak0 • updated 4 months ago by James W. MacDonald50k
0
votes
0
answers
148
views
0
answers
Comment: C: RNA seq analysis
... ok i want to use it for identification of cancer related genes ...
written 5 months ago by marak0
0
votes
0
answers
148
views
0
answers
RNA seq analysis
... i am new to RNA seq analysis .I have TMM normalized htseq-count data .Can any body tell  can me what threshold should i use inorder to differentiate between genes related to cancer and that are normal?i.e i want to know which genes are differently expressed using machine learning algorithms(PSO+SVM) ...
rnaseq machine learning written 5 months ago by marak0
0
votes
1
answer
442
views
1
answers
Comment: C: feature reduction using machine learning
... i want to use particle swarm optimization algorithm for feature reduction and SVM for classification ...
written 5 months ago by marak0
0
votes
1
answer
442
views
1
answer
feature reduction using machine learning
... i  want to identify cancer related genes using RNA seq using machine learning. Can anybody guide me what input feature reduction algorithms accept ?Do i need to give t values or P values as input and in return they give me genes with higher p values.Any kind of help in this regard will be appreciate ...
rnaseq feature selection machine learning written 6 months ago by marak0 • updated 5 months ago by chris86380
0
votes
2
answers
324
views
2
answers
Comment: C: Finding DE genes from RNA-seq data
... Steve Lianogloucan can you  please guide me about  doing differential gene expression analysis using machine learning algorithms.I will be  using Particle swarm intelligenece algorithm for feature selection and after that i will use SVM for classification of cancer related genes from RNA seq data. ...
written 6 months ago by marak0
0
votes
1
answer
214
views
1
answers
Comment: C: TMM normalization of cancer RNA seq
... thanks a lot . i removed log=true and it worked.Can you please guide me that histogram of TMM normalized values must be in normal distribution form? ...
written 6 months ago by marak0
0
votes
1
answer
214
views
1
answer
TMM normalization of cancer RNA seq
... i have RNA seq counts data when i apply TMM normalization why do i also get negative values beside positive one my source code is below:   library(edgeR) RNAseq2 <-read.delim("C:\\Users\\hp folio\\Desktop\\BRCA.tsv",header = TRUE) rnames <-RNAseq2[,1] MA <- data.matrix(RNAseq2[,2:60]) MA ...
normalization cancer written 6 months ago by marak0 • updated 6 months ago by Steve Lianoglou12k

Latest awards to marak

No awards yet. Soon to come :-)

Help
Access

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 16.09
Traffic: 200 users visited in the last hour