Bioinformatics Beta

Questions tagged [batch-effects]

Ask Question

The tag has no usage guidance.

15 questions
Newest
Active
Bountied
Unanswered
Filter by
Sorted by
Tagged with
0
votes
1answer
36 views

Details of DESeq2 modeling a batch effect

When correcting my data for a batch effect using removeBatchEffect, some of the gene expression values become negative. When searching for differentially expressed genes, I do not use the data above, ...
3
votes
1answer
98 views

Removing Batch Effect in Heatmaps after Differential Gene Expression Analysis

I'm working on a dataset in which the first replicate of each group is one batch and the second replicate is in a second batch. After checking the PCA plot and ...
0
votes
2answers
880 views

how to solve “dim(X) must have a positive length” at running ComBat function in R

I used ComBat() for batch effect correction in my expression data. basically, that function inputs are expression data, Batch covariate, and Model matrix for the ...
2
votes
2answers
595 views

TPM or rlog(CPM) for comparing expression?

I want to see the expression of a gene in a group of patient amongst the entire cohort using my RNA-Seq data. While I can do a differential expression analysis with limma or DESeq2, I want to see how ...
0
votes
2answers
204 views

Interpreting this PCA plot for RNA-seq

I have RNA-seq from two sequencing batches; Lab technician says that he has run the RNA expression quantification two times in bathes 1 and 2 for example ...
1
vote
0answers
106 views

ComBat batch correction: understanding the model

A collaborator of mine is using ComBat for some RNA-seq data. I would like to understand what it's doing, and I have a specific question about the structure of the model. Equation 2.1 of the paper ...
1
vote
1answer
81 views

Combat for multiplatform batch correction

I have been looking ways to use data from various micro-array platform such as agilient, rosetta/merk. Some of the established method I came across is combat, but I'm not sure if it can be done for ...
2
votes
1answer
121 views

sva for RNA-Seq data without known phenotype

I have been working on RNA-Seq data from two different cohorts, and they show very strong batch effect (~35% variance explained by 1st component in PCA). Since I am trying to do a class discovery from ...
3
votes
1answer
155 views

How should I address batch effects in my experiment?

Let's say I have an RNA-Seq experiment, where I'm interested in the significantly differentiated genes between pre-treatment and post-treatment conditions. "rep" == biological replicate. ...
2
votes
1answer
682 views

How to get the corrected matrix after SVA batch effect correction

I ran SVA to remove batch effects for my bulk RNAseq experiments, but now I need to somehow correct my data matrix in order to ...
0
votes
1answer
897 views

Batch Effects in RNA Seq Sample

I am using the R (using EdgeR) for the RNA Seq analysis, I had few batch effect samples like Control vs treatment. Could anyone tell me the best way to remove the batch effects. I have looked into ...
4
votes
3answers
1k views

Is it possible to merge scRNAseq data from experiments with different design?

I have 4 different single-cell RNAseq experiments, each one representing a different sample of cell type population. I'd like to merge them to a single dataset. However, different cell types are ...
1
vote
2answers
1k views

ComBat for batch effects removal on scRNA-seq data

Is it possible to use sva's ComBat for batch effects removal on scRNA-seq data? Is there any difference between RNA-seq and scRNA-seq data which doesn't allow to use ComBat on single-cell data? (I am ...
2
votes
1answer
97 views

How hard is it to clean and QC gene expression microarray data?

I am a PhD student working on developing ideas for my dissertation papers. One of my planned papers will be working with some (human) gene expression data. I have had a class on working with gene ...
5
votes
1answer
661 views

Order of batch effects removal, data imputation and library size normalization in scRNA-seq data

I am preprocessing scRNA-seq data. What is the best practice in use to run both ComBat for batch effects removal, data imputation (to mitigate dropout) and library size normalization? I thought that ...