This repo contains Tables, Supplementary Materials, data and scripts related to the review "A primer on machine learning techniques for genomic applications"
Folder data contains data used to perform the analysis reported in section 8 of the paper.
Folder code contains R code used to perform the analysis reported in section 8 of the paper.
Other scripts include:
table.py
figures.ipynb
ML_DL_review_articles.db.tar.gz
Enable full text searching by creating a virtual table "ML_DL_review_articles_tab" based on the fts4 engine.
These steps are mandatory in order to use script table.py.
Open a terminal and type:
$ sqlite3 ML_DL_review_articles.db
Inside thesqlite3 interface type:
sqlite> CREATE VIRTUAL TABLE ML_DL_review_articles_tab USING fts4(PMID, Title, Abstract, Date);
sqlite> INSERT INTO ML_DL_review_articles_tab SELECT `PMID`, `Title`, `Abstract`, `Create Date` FROM ML_DL_review_articles;