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关于peak_gene_100k_corr.bed文件
你好,我现在打算运行这个程序,研究时不太理解输入的文件。
首先是peak_gene_100k_corr.bed这个文件的第三第四列是什么,数据是从哪里来的呢。我使用10X(https://support.10xgenomics.com/single-cell-atac/software/pipelines/latest/using/count)做单样本分析时数据其中的一个文件是peak_annotation.tsv,其中有一列是distance,跟你这个文件的第四列有些像。
还有就是PeakName.txt这个文件是怎样来的呢,我一开始以为是peak_gene_100k_corr.bed去重后的数据,发现不一致的。
如果有时间,希望解答一下~
Missing "RE_v2.bed" in pre-processing script
- It's unclear what is RE_v2 refers to, in the pre-processing script
- .bed and .bam files are used interchangeably in the README and the remaining scripts, creating some confusion
How to calculate A
Hi,
After reading your paper, I am interested in this method.
https://www.pnas.org/content/115/30/7723
I thought it was very advanced as a way to integrate two matrices that have neither rows nor columns in common.
By the way, the matrix A (Peak×Gene) in Equation (1) seems to be a pre-calculated matrix in this implementation , but what kind of calculation do you do to get it?
Line 44 in 116a5d4
I'm not familiar with the problem of penalized least-squares in equation (3), and I was wondering what kind of solver is used to solve it.
In particular, since the Frobenius norm contains a summation symbol, it seems to me that this model is different from general linear regression.
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