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4.9 years ago
husainbioinfos
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...working on lung cancer project and need to find out which genes are deferentially expressed and which are not. for that i a have downloaded miRNA data set from GEO id is GSE110907. And the file i got has to variable gene_id and read counts. from that i have to derive p value from that data/file.
example: input file :
id read_count hsa-miR-100-3p 568 hsa-miR-100-5p 176883 hsa-miR-101-3p 122968 hsa-miR-101-5p 923
output file: id read_count p value hsa-miR-100-3p 568 ? hsa-miR-100-5p 176883 ? hsa-miR-101-3p 122968 ? hsa-miR-101-5p 923 ?
You need to give us more information. A p-value is associated to a certain hypothesis/test. What are you testing here?
What are you interested in knowing using the read counts? If you have multiple samples, you could compute a differential expression analysis where your miRNAs would have a p-value based on the method you used (
limma
for example.)i want to perform deferentially expression of genes and want to derive p value.i have file which has miRNA id and read counts. how can i derived p value from miRNA id and read counts ? please explain
It really depend what's you're looking for, and what your data's like. Get an idea of what others have done first and what kind of tools they used, I find that's usually the best approach to figure it out. A good starting point would be to find some existing miRNA DE pipeline.
Some links to get you started:
https://github.com/bcgsc/mirna
miRNA differential expression
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1601-4
https://www.researchgate.net/post/Pipeline_for_miRNA_differential_expression_analysis_from_NGS_data2
let me clarify...working on lung cancer project and need to find out which genes are deferentially expressed and which are not. for that i a have downloaded miRNA data set from GEO id is GSE110907. And the file i got has to variable gene_id and read counts. from that i have to derive p value from that data/file.
example:
input file :
output file:
husainbioinfos : Please edit your original post to add more/new information.
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