User: babumanish837

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India
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2 years ago
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Posts by babumanish837

<prev • 9 results • page 1 of 1 • next >
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Comment: C: How do i perform chi square test in r?
... Thank You @Aaron Lun for your reply. I will try to contact him. ...
written 2.0 years ago by babumanish83710
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How do i perform chi square test in r?
...     I am following http://www.hindawi.com/journals/bmri/2014/589290/ article for chi square test for gene selection. According to this article all the gene expression of each sample will either be greater or lesser than their respective mean i.e all the gene expression of sa ...
microarray bioinformatics bioconductor chisquare written 2.0 years ago by babumanish83710 • updated 2.0 years ago by Aaron Lun17k
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How to discretize expression set data ?
... Dear All, I have an expression set Bioconductor microarray gene data. I want to perform chi square test and for that I have to discretize my data. Should i use quantileDiscretize() function of rcubic package in R or should I use some other function for that ? ...
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Comment: C: How to use t.test to select best features out of multiple features?
... Dear svlachavas, Now i understand group is nothing but study. It solved my problem. But i have one question what is the significance of ~ in design <- model.matrix(~group). Thank You very much for your help. ...
written 2.2 years ago by babumanish83710
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Comment: C: How to use t.test to select best features out of multiple features?
... Dear @svlachavas, Thanks for your help, Could you please explain what is group in the statement design <- model.matrix(~group) ...
written 2.2 years ago by babumanish83710
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Answer: A: a problem about how to install "Bioconductor" package
... Dear zhangyingbo1984, Try source("https://bioconductor.org/biocLite.R") biocLite("Your Package Name") ...
written 2.2 years ago by babumanish83710
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How to use t.test to select best features out of multiple features?
... Dear all, I am working on microarray data having 49 samples and 22273 genes. I want to apply t.test to select top ranked genes that best deferentially classify the samples into two groups. I know i can do that by using limma package but i have to use t.test to select the genes. I know how to use t. ...
microarray biobase R t.test feature selection written 2.2 years ago by babumanish83710 • updated 2.2 years ago by svlachavas570
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Comment: C: How to use expression set object to select genes using different gene selection
... Dear Sean Davis, I am working in a project in which i have to compare the performances of different gene selection algorithms (feature selection algorithms ) i.e t-test,chi square test,mRMR etc. I am working on two class genes microarray colon cancer data. At first i will divide the data into two p ...
written 2.2 years ago by babumanish83710
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How to use expression set object to select genes using different gene selection methods
... I want to select top k genes from the gds data and then i want to apply some classification algorithm to find the how much one gene selection algorithms (t-test,chi sq test,mRMR etc) works better from each other.I have used following R code to generate expression set from gds data. library(GEOquery ...
microarray biobase geoquery written 2.2 years ago by babumanish83710 • updated 2.2 years ago by svlachavas570

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