BMC Bioinformatics / Data Mining

miRFam: An Effective Automatic miRNA Classification Method Based on n-Grams and a Multiclass SVM

An early sequence-mining paper that represents miRNA sequences with n-gram features for family classification.

Research area

Weak supervision, robust learning, topic modeling, continual graph learning, and digital business experiments form the modern method line.

Publication record

Authors
Jiandong Ding, Shuigeng Zhou, Jihong Guan
Venue
BMC Bioinformatics
Area
Data Mining