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Questions tagged [pca]

Principal Components Analysis. A statistical method used to reduce the dimensionality of a dataset while keeping as much variance in the first principal components as possible. It can be used to visualise samples with many variables in 2-D or 3-D, thus allowing for a visual non-supervised grouping of points.

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Filter out PCA outliers automatically

I am new to bioinformatics and PCA. What I am trying to do is to remove bad cells from a dataset that was obtained with scRNA-seq for ...
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PCA on large sparse matrix of single cell RNA-seq

I received a large sc-RNA-seq data matrix, as of the nature of sc-RNA-seq compared to bulk-RNA-seq the data matrix is very sparse. Moreover, due to the fact that this is single cell data the cell ...
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Selecting genes with more contribution from PCA

I have RNA-seq data in response to treatment vs non response; By machine learning I selected three principle components likely can predict the response based on the gene expression. Now I have ...
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Investigate the effect of street-light regime on insects

I need advice on a suitable analysis of a dataset that has an awkward design - because we investigate a real-world situation -we have two sites (A,B) where we can conduct the research. The hypothesis ...