User: au.rinki.bio

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au.rinki.bio10
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Location:
University of Allahabad, India
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1 month, 1 week ago
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3 years ago
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Posts by au.rinki.bio

<prev • 48 results • page 1 of 5 • next >
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Meta analysis to find candidate genes
... hi, I am working on the different subtypes of particular cancer and trying to find out candidate genes that are common in these subtypes. To achieve this objective I had considered different microarray gene expression datasets. 1. During the selection of dataset criteria, I have considered only the ...
microarray written 6 weeks ago by au.rinki.bio10 • updated 5 weeks ago by Biostar ♦♦ 20
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Comment: C: Is Batch correction required for the same micro array platform?
... In this case how to remove batch effect? ...
written 7 months ago by au.rinki.bio10
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Comment: C: Is Batch correction required for the same micro array platform?
... sorry for the very basic question can I consider normal and case sample from different dataset? is it valid for differential expression analysis? ...
written 7 months ago by au.rinki.bio10
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Is Batch correction required for the same micro array platform?
... Hii I am handling microarray data and I have two datasets with the same platform (GPL750) one of which contains tumor samples and another one has normal samples. I want to merge these two datasets for differential expression analysis. Is it required batch correction? ...
microarray meta analysis written 7 months ago by au.rinki.bio10
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How to prepare "trait.csv" ("trait data") file for creating correlation network by WGCNA
... i have just started co-expression network construction using WGCNA. I had downloaded microarray expression data from GEO database and pre-processed this data. this data consis 10 control sample and 21 cancer samples. my question is that how i can create clinicaltrait.txt file. this data is not ti ...
co-expression network using wgcna written 13 months ago by au.rinki.bio10
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Comment: C: up regulated and down regulated genes in co-expression network
... I am sharing a link for a better explanation, from where I get the code for construction co-expression network http://virtualplant.bio.puc.cl/share/step-by-step/step-by-step.txt ...
written 13 months ago by au.rinki.bio10
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Comment: C: up regulated and down regulated genes in co-expression network
... for the co-expression network construction, we use normal tissue sample and cancer sample at the same time. like we have 10 normal samples and 10 cancer samples. in the input matrix, we have a total of 20 samples in the column and corresponding genes in rows. after normalization of data used above ...
written 13 months ago by au.rinki.bio10
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Comment: C: up regulated and down regulated genes in co-expression network
... This is the which i had used for co-exoression network construction library("psych") data1<-read.table("gse7803_comp.txt") head(data1) Norm.interest.corr1 <- corr.test( t(data1), method="pearson", ci=F) Norm.interest.corr names(Norm.interest.cor ...
written 13 months ago by au.rinki.bio10 • updated 13 months ago by Kevin Blighe56k
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up regulated and down regulated genes in co-expression network
... hi all, I am constructing a co-expression network using gene microarray data via Pearson correlation. I consider a threshold value of absolute 0.80 for the correlation coefficient. I considered three microarray datasets create co-expression network for each dataset separately after that I merged th ...
co-expression written 14 months ago by au.rinki.bio10 • updated 10 months ago by entropy40
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Comment: C: Micoarray meta data analysis
... here, I am asking for same cancer (cervical) but datasets are different. ...
written 15 months ago by au.rinki.bio10

Latest awards to au.rinki.bio

Popular Question 4 months ago, created a question with more than 1,000 views. For differential expression analysis of microarray data using limma package
Popular Question 6 months ago, created a question with more than 1,000 views. For ngs vs microarray
Supporter 7 months ago, voted at least 25 times.
Popular Question 13 months ago, created a question with more than 1,000 views. For ngs vs microarray

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