gkm-DNN

:: DESCRIPTION

gkm-DNN is a software which uses gapped k-mer frequency vector (gkm-fv) as input to train neural networks. gkm-DNN is designed for classification but can be easily extended to other problems such as regression and ranking.

::DEVELOPER

Shihua Zhang’s Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Windows/Linux
• R

:: DOWNLOAD

gkm-DNN

:: MORE INFORMATION

Citation

Cao Z, Zhang S.
Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks.
IEEE/ACM Trans Comput Biol Bioinform. 2020 Mar-Apr;17(2):657-667. doi: 10.1109/TCBB.2018.2868071. Epub 2018 Aug 31. PMID: 30183639.