Motif-Informed Network Inference based on Accessible Chromatin (MINI-AC) is a method that combines accessible chromatin data from bulk or single-cell experiments with transcription factor binding site enrichment to learn gene regulatory networks in plants
I created this temporary feedback branch to gather suggestions for polishing mini-AC code quality. This branch has been reverted to the repo's initial commit, to see the entire diff of everything that has been added to the main branch so far since the repo was created. This PR should NOT be merged, it only serves as a place to collect suggestions.
I also created a new dev (develop) branch that is currently in line with main, on which we can gather all implemented improvements. Each improvement should be implemented on a separate, new branch starting from dev. We can then use pull requests to merge the improvements to dev, with review. All changes gathered on dev should then be tested on the validation datasets before they are released to the main branch.
I created this temporary feedback branch to gather suggestions for polishing mini-AC code quality. This branch has been reverted to the repo's initial commit, to see the entire diff of everything that has been added to the
mainbranch so far since the repo was created. This PR should NOT be merged, it only serves as a place to collect suggestions.I also created a new
dev(develop) branch that is currently in line withmain, on which we can gather all implemented improvements. Each improvement should be implemented on a separate, new branch starting fromdev. We can then use pull requests to merge the improvements todev, with review. All changes gathered ondevshould then be tested on the validation datasets before they are released to themainbranch.