[Re] A Boolean network inference from time-series gene expression data using a genetic algorithm

[Bonartze]

Original article: Cho, H., & Choo, S. M. (2018). A Boolean network inference from time-series gene expression data using a genetic algorithm. Bioinformatics, 34(17), i927-i935. https://doi.org/10.1093/bioinformatics/bty584

PDF URL: https://github.com/Bonartze/gabni-reproduction/blob/main/paper/article.pdf

Metadata URL: https://github.com/Bonartze/gabni-reproduction/blob/main/paper/metadata.yaml

Code URL: https://github.com/Bonartze/gabni-reproduction

Scientific domain: Bioinformatics / Computer Science

Programming language: Python

Suggested editor: @rougier

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Note: This is a formal submission for the replication work discussed in issue #7.
The repository includes a clean-room reimplementation of GABNI (MIBNI + GA), full installation instructions, and reference outputs for the yeast case study.

[rougier]

Thansk for your submission and sorry for the long delay, I somehow skipped you submission. I'm not sure I get the link with issue #7 on the WCST. Can you develop?

[rougier]

Ok, I got it, it was ReScience/call-for-replication#7 (comment)

[rougier]

@ctb or @khinsen Coudl you edit this submission ? I think @Caiofcas might be interested in reviewing.

[khinsen]

@rougier I understand this well enough to act as editor, but the topic is too far from my own work for me to know the population of suitable reviewers. I suspect @ctb is a better fit for this submission (if available).

[rougier]

@khinsen Maybe @Bonartze can suggest some reviewers from our list

[Bonartze]

@rougier I suggest @gokceneraslan or @simonvh would fit best here

[khinsen]

@Bonartze Where is your ReScience C submission, i.e. the paper? That's what we expect under "PDF URL". And under "Metadata URL", we expect a YAML file derived from our template by filling in the required information.

See here for the full submission instructions.

[Bonartze]

@khinsen thanks, you are right, I forgot to push it. I updated issue description with all approproate links