Questions tagged [linear-regression]

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6 votes
1 answer
253 views

Scaling by linear regression against the number of reads

I am trying to build the preprocessing pipeline presented in The Tabula Muris Consortium et al. (pp). It is a pipeline to preprocess single-cell sequencing data. There is one step that is not clear: ...
gc5's user avatar
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5 votes
3 answers
2k views

Regressing out unwanted sources of variation in single cell RNA-seq data

I have a dataset of single cell count data and I want to regress out the variation caused by the number of UMI's and the percentage of mitochondrial genes. I know that count data is discrete data, ...
DCZ's user avatar
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3 votes
1 answer
227 views

Inflated p-values in quantitative trait analysis

I am performing a quantitative trait association between the expression of one gene and ~400,000 methylation values. First, both variables are rank inverse normal transformed, adjusted for confounders ...
sergiovm's user avatar
3 votes
1 answer
221 views

GWAS, MWAS, EWAS: what are the (in)dependent variables?

I started reading some papers on X-wide association studies, where X can be metabolome, epigenome, etc... The authors usually describe which are the dependent and which are the independent variables ...
wrong_path's user avatar
3 votes
0 answers
123 views

How do I resolve disagreements in the determination of significant genes?

I want to find some good predictors (genes). I have checked the Spearman correlation of the expression of each of 23 genes with dependent variables (responders Vs non-responders and I saw only the 5 ...
Zizogolu's user avatar
  • 2,128
2 votes
2 answers
111 views

How do I Investigate and test the hypothesis on the effect of street-light regime on insects?

I need advice on a suitable analysis of a dataset that has an akward design because we investigate a real-world situation. We have two sites (A, B) where we can conduct the research. The hypothesis ...
Robert's user avatar
  • 21
2 votes
1 answer
626 views

How are residuals used as new phenotype?

I'm a novice trying to wrap my head around with fancy jargons. If I search residual, I understand that it represents the difference between the observed value of the dependent variable (y) and the ...
Death Metal's user avatar
2 votes
0 answers
172 views

Trouble optimizing Five Parameter Logistic (5PL) Standard Curve for ELISA data using Python

I am writing a Python script to automate a 5PL Standard Curve for ELISA data, using an XLSX file template. I am using pandas dataframes to hold the 96 wells as ...
Jake Steele's user avatar
1 vote
1 answer
786 views

Doing plot with this data

I have normalized expression values of some genes in some patients and the how many days they have survived from their diagnosis with cancer like below EDITED I have taken mean of the expression ...
Zizogolu's user avatar
  • 2,128
1 vote
2 answers
92 views

How to get coefficient tables from multiple regression model result!

I've done multiple regression modeling in R using the below script. Now I'm wondering how can I make a table for the coefficients of each model of all models from lm, glm, and rf separately. ...
Deb's user avatar
  • 183
1 vote
1 answer
182 views

Can I use a regular liner regression model when I'm working with DNA methylation data?

I'm new on working with genetics data and I'm just wondering if I can use the lm function when I'm building my models or do I have to use ...
Mr.M's user avatar
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1 vote
2 answers
84 views

Advise on building an effect ML model for predicting important proteins for drug response

I want to create a model to predict proteins which could be associated with drug response in cancer cell lines. I have cell line proteomics data, with compound screening data they have gained for a ...
LJM's user avatar
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1 vote
0 answers
38 views

PLINK linear association testing command with an interaction and 2 covariates term

I am trying to write the right command for my association testing using PLINK 1.9 but I could not find a clear answer so far and not sure how to wrtie it correct. I have genotype variants called and ...
entropy's user avatar
  • 23
1 vote
0 answers
50 views

Detect differentially expressing cells

after comments on my original post, I will ask my question again here I have data (RNA expression values, obtained with multi-channel in situ hybridization) collected from 1mio human cells. For each ...
tebiwankenebi's user avatar
0 votes
1 answer
99 views

Statistical approach to link DNA methylation with toxic element exposure and health outcome

I would be thankful to you if you can help with the statistical approach for case-control study to link DNA methylation (epic array) with toxic element exposure (arsenic) and health outcome (...
bioinfonext's user avatar
0 votes
2 answers
130 views

What is the difference between fixed effects and random effects in the context of Linear-mixed models?

The terms in LME i.e. fixed and random create confusion? What is the genesis that can distinguish between the two ?
Subhash C. Davar's user avatar
0 votes
1 answer
81 views

Model the effect of treatment on mutation burden

I am struggling a bit to model the following problem. Basically, I would like to model tumor mutation burden (mutations per megabase, a continuous) as a function of treatment (categorical). The ...
cat's user avatar
  • 19
-1 votes
1 answer
73 views

What are the fastest way of feature selection in R for large dataset in Machine Learning?

I have about 100 data sets with over 100,000 rows and 27 predictor variables and multiple response variable on each dataset. I want to select the most essential Features for these datasets. I used ...
Deb's user avatar
  • 183