Noninvasive cervicovaginal proteomic biomarkers for spontaneous preterm birth
Description
This open repository includes Python, R and Java scripts produced in this study, covering feature selection methods (jackknifing.py and EN.R), feature importance ranking (composite_score_function.py), optimal biomarker number selection (elbow_point.py), model building and validation (model_construction_and_validation.py), UMAP analysis (UMAP.py), molecular subtypes analysis (molecualr_subtype.py, subcluster_DEG_anova.py), PPI network analysis (PPI.py) , drug target analysis (parse_drugbank.R and drug-targets.py), and source code for an Android mobile platform app (PTB-App.zip) , among other aspects.
Files
our_protein_id.txt
Files
(41.1 MB)
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