A network based gene classification library to generate genome wide predictions about genes that are functionally similar to the input gene list.

This pipeline is intended to be a convenient way to work though large sets of metagenomic or metatranscriptiomic datasets while also retaining high analytical flexibility due to retained intermediate results that might be useful outside of the intended purpose.

Human DNA Sequence Classification across 7 gene families using K-mer feature extraction | Random Forest 73.83% accuracy | Python, Scikit-learn