HIGHLIGHTS
- who: Mahmoud Ghandi et al. from the Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America, School of Mathematics, Statistics and Computer have published the research: Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features, in the Journal: (JOURNAL) of July/17,/2014
- what: To make the method applicable to large-scale genome wide applications the authors develop an efficient tree data structure for computing the kernel matrix. The authors show that compared to the original kmer-SVM and alternative approaches the gkm -SVM predicts functional genomic regulatory elements and tissue . . .
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