User: Ar

gravatar for Ar
Ar690
Reputation:
690
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Trusted
Location:
United States
Website:
https://www.linkedin.c...
Twitter:
aayushraman
Last seen:
4 hours ago
Joined:
2 years, 2 months ago
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a************@gmail.com

Posts by Ar

<prev • 78 results • page 1 of 8 • next >
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Tool: DASC, a bioinformatics tool for detecting hidden batch effects in gene expression datasets
... **Abstract**: We propose a data-adaptive, non-parametric, and non-regression approach to remove the biological signal to prepare the data for batch detection and then apply a semi-NMF method to obtain the estimation of the hidden batch factors associated with the samples. To isolate the batch signal ...
R batcheffects tool rna-seq written 11 days ago by Ar690
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Comment: C: ComBat (SVA) Application - Two Technical Effects
... I am sorry but for some reason the post came up on the "Biostars Latest question". I think it was because the Biostar modified your post. However, thanks for sending the paper. I will go through it. ...
written 9 months ago by Ar690
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Comment: C: ComBat (SVA) Application - Two Technical Effects
... Here is my earlier post on Batch Correction: https://www.biostars.org/p/196430/#196528 I would recommend you to combine all the dataset you have and then get the batch information using sva function. Now sva gives you surrogate variables (which is batch plus information about other latent variables ...
written 9 months ago by Ar690
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DESeq2 design and interaction terms
... I went through the vignette about interaction terms and would like to understand if I am applying interaction terms correctly and biologically, if I am extracting the correct the terms. Here is the example code from DESeq2 R documentation for **two conditions (A, B) and three genotypes (I,II,III)**. ...
R deseq2 rna-seq written 9 months ago by Ar690
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Answer: A: PCA tpm fpkm
... I would recommend to do log-transformation of the TPM/RSEM dataset. PCA has a hidden assumption of normality. PCA finds the coordinate system such that it can maximize the variance between the points. This achieved using orthogonal principal components. In case of multivariate Gaussian distribution ...
written 9 months ago by Ar690
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Comment: C: Difference between the Fasta files from UCSC and Gencode/Ensembl
... Thanks and that was an awesome answer! Actually you made my stupid question look good! :D ...
written 10 months ago by Ar690
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Comment: C: Difference between the Fasta files from UCSC and Gencode/Ensembl
... Thanks a lot. That was helpful! ...
written 10 months ago by Ar690
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Comment: C: Recommended cutoff for FDR - 0.05 or 0.1
... WouterDeCoster: Mostly in small sample size where n = 4 or 5 for each genotype (in a model organism such as mice). ...
written 10 months ago by Ar690
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Comment: C: Recommended cutoff for FDR - 0.05 or 0.1
... In most of the brain tissues like Hypothalamus, cerebellum, straitum and dentate gyrus. Typically, people use anova rather then limma. Limma gives you around 20-30 genes where as anova gives you 100-200 genes. The transcriptomic changes are very small and most of diff expressed genes between WT and ...
written 10 months ago by Ar690
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Comment: C: Recommended cutoff for FDR - 0.05 or 0.1
... I totally agree with Daniel's first paragraph but not second. There are many mendelian diseases (like Rett Syndrome) where the phenotype is extremely different however, the number of diff expressed genes between a WT and KO model organism is very small (~20 to 30 max with FDR < 0.05). Then I thin ...
written 10 months ago by Ar690

Latest awards to Ar

Popular Question 7 days ago, created a question with more than 1,000 views. For Difference between the Fasta files from UCSC and Gencode/Ensembl
Teacher 5 months ago, created an answer with at least 3 up-votes. For A: Public paired end chip seq dataset, both ChIP and input?
Good Answer 6 months ago, created an answer that was upvoted at least 5 times. For A: Beginner in Bioinformatics / computational biology field
Student 6 months ago, asked a question with at least 3 up-votes. For Difference between the Fasta files from UCSC and Gencode/Ensembl
Teacher 9 months ago, created an answer with at least 3 up-votes. For A: Public paired end chip seq dataset, both ChIP and input?
Supporter 12 months ago, voted at least 25 times.
Appreciated 12 months ago, created a post with more than 5 votes. For A: Limma strange low p-values.
Good Answer 12 months ago, created an answer that was upvoted at least 5 times. For A: Beginner in Bioinformatics / computational biology field
Teacher 12 months ago, created an answer with at least 3 up-votes. For A: Public paired end chip seq dataset, both ChIP and input?
Scholar 12 months ago, created an answer that has been accepted. For A: Public paired end chip seq dataset, both ChIP and input?
Scholar 12 months ago, created an answer that has been accepted. For A: Public paired end chip seq dataset, both ChIP and input?
Teacher 12 months ago, created an answer with at least 3 up-votes. For A: Public paired end chip seq dataset, both ChIP and input?
Scholar 12 months ago, created an answer that has been accepted. For A: Public paired end chip seq dataset, both ChIP and input?
Scholar 12 months ago, created an answer that has been accepted. For A: Public paired end chip seq dataset, both ChIP and input?
Appreciated 12 months ago, created a post with more than 5 votes. For A: Limma strange low p-values.
Scholar 12 months ago, created an answer that has been accepted. For A: Public paired end chip seq dataset, both ChIP and input?
Teacher 12 months ago, created an answer with at least 3 up-votes. For A: Public paired end chip seq dataset, both ChIP and input?
Scholar 13 months ago, created an answer that has been accepted. For A: Public paired end chip seq dataset, both ChIP and input?
Teacher 13 months ago, created an answer with at least 3 up-votes. For A: Public paired end chip seq dataset, both ChIP and input?

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