CERENKOV2: improved detection of functional noncoding SNPs using data-space geometric features

Y Yao, Z Liu, Q Wei, SA Ramsey - BMC bioinformatics, 2019 - Springer
Background We previously reported on CERENKOV, an approach for identifying regulatory
single nucleotide polymorphisms (rSNPs) that is based on 246 annotation features …

Res2s2am: Deep residual network-based model for identifying functional noncoding snps in trait-associated regions

Z Liu, Y Yao, Q Wei, B Weeder… - … 2019: Proceedings of the …, 2018 - World Scientific
Noncoding single nucleotide polymorphisms (SNPs) and their target genes are important
components of the heritability of diseases and other polygenic traits. Identifying these SNPs …

Combining eQTL and SNP annotation data to identify functional noncoding SNPs in GWAS trait-associated regions

SA Ramsey, Z Liu, Y Yao, B Weeder - eQTL Analysis: Methods and …, 2020 - Springer
We describe a statistical method for prioritizing candidate causal noncoding single
nucleotide polymorphisms (SNPs) in regions of the genome that are detected as trait …

CERENKOV3: Clustering and molecular network-derived features improve computational prediction of functional noncoding SNPs

Y Yao, SA Ramsey - Pacific Symposium on Biocomputing …, 2020 - pmc.ncbi.nlm.nih.gov
Identification of causal noncoding single nucleotide polymorphisms (SNPs) is important for
maximizing the knowledge dividend from human genome-wide association studies (GWAS) …

Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

Y Yao - 2021 - ir.library.oregonstate.edu
We describe a series of novel computational models, CERENKOV (Computational
Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2 …