User: au.rinki.bio

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au.rinki.bio10
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Posts by au.rinki.bio

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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 10 weeks 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 10 weeks 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 10 weeks 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 10 weeks ago by au.rinki.bio10 • updated 10 weeks ago by Kevin Blighe41k
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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 10 weeks ago by au.rinki.bio10
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Comment: C: Micoarray meta data analysis
... here, I am asking for same cancer (cervical) but datasets are different. ...
written 4 months ago by au.rinki.bio10
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Micoarray meta data analysis
... hello, I am working on a meta-analysis of the microarray data for the different type of cancer and trying to find out common genes for these cancers. For the same type of cancer (high grade) from different data sets, we get a different number of genes, as we increase the number of data sets, the com ...
metadata analysis and cancer written 4 months ago by au.rinki.bio10 • updated 4 months ago by guangyan.zh00
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Microaaray data analysis
... hello, I had identified differentially expressed genes using Limma for microarray data (cancer). what are the accuracy that these genes truly involved in this disease? there are <1000 genes are reported for particular cancer in different databases. from our analysis, we found few genes those ar ...
accuracy of micoarray dataanalysis written 5 months ago by au.rinki.bio10
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Forum: ngs vs microarray
... With all the advancements that NGS has made, why is anyone still using microarrays? ...
forum ngs vs microarray technology written 9 months ago by au.rinki.bio10 • updated 9 months ago by Vijay Lakhujani4.0k
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Comment: C: differential expression analysis from microarray data
... sorry for miscommunication, actually I want to filter differentially expressed gene with log fc> ±2. but I got genes with only positive value. I hope it is clear to you. ...
written 12 months ago by au.rinki.bio10

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