MOESM1 of MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNAâdisease association prediction

Chen, Xing; Niu, Ya-Wei; Wang, Guang-Hui; Yan, Gui-Ying

doi:10.6084/m9.figshare.5696458.v1

12967_2017_1340_MOESM1_ESM.docx (47.25 kB)

MOESM1 of MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNAâdisease association prediction

journal contribution

posted on 2017-12-12, 05:00 authored by Xing Chen, Ya-Wei Niu, Guang-Hui Wang, Gui-Ying Yan

Additional file 1. Additional information about the multiple kernel learning method, two-step optimization process and the case studies comparison with HGIMDA and RKNNMDA.

Funding

National Natural Science Foundation of China

History

Usage metrics

Keywords

miRNA Disease miRNAâdisease association Multiple kernel learning Kronecker regularized least squares

Licence

CC BY + CC0

Exports

RefWorks

BibTeX

Ref. manager

Endnote

DataCite

NLM

DC