id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_2pr3au7mozfx3bfmyg4bc4yo7u	Nisar Wani	MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of large-scale gene regulatory networks	2021	20	.pdf	application/pdf	9187	1003	54	kernel learning (MKL) based gene regulatory network (GRN) inference approach MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of largescale gene regulatory networks. interaction data using advanced multiple kernel learning (MKL) library provided by In yet another study for network inference using kernel data integration (Yamanishi, Multiple kernel Learning approach has also been applied to the domain of drugtarget interaction network inference and drug bioactivity prediction. Algorithm 1 MKL-GRNI Parallel approach for supervised inference of large-scale gene regulatory Multiple kernel learning is based on integrating many features of objects such as genes, To test the parallel MKL algorithm on multiple datasets, we downloaded gene expression approach with other methods that infer gene interactions from single and integrated MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of large-scale gene regulatory networks MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of large-scale gene regulatory networks	./cache/work_2pr3au7mozfx3bfmyg4bc4yo7u.pdf	./txt/work_2pr3au7mozfx3bfmyg4bc4yo7u.txt