Author

Yaoliang Yu

University of Waterloo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

Eric P. Xing· 1 shared Guang HeiD· 1 shared Kai Yuan· 1 shared Laura A. HugiD· 1 shared Lila Kari AiD· 1 shared Lin‐Tai DaiD· 1 shared Luming MengiD· 1 shared Mengna Lin· 1 shared

Activity by Year

2015-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperEvolutionary Biology

Eric P. Xing

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

MT-MAG: Accurate and interpretable machine learning for complete or partial taxonomic assignments of metagenome-assembled genomes

Wanxin Li, Lila Kari A, Yaoliang Yu, Laura A. Hug

MT-MAG is a machine learning tool for taxonomic classification of MAGs, achieving high accuracy and providing interpretable results for complete or partial classifications.

bioRxiv · Jan 12, 2022 · PreprintBioinformatics

A Novel Neoantigen Discovery Approach based on Chromatin High Order Conformation

Yi Y. Shi, Mingxuan Zhang, Luming Meng, Xianbin Su, Xueying Shang, Zehua Guo, Qingjiao Li, Mengna Lin, Xin Zou, Qing Luo, Yaoliang Yu, Yanting Wu, Lin‐Tai Da, Tom Weidong Cai, Guang He, Ze‐Guang Han

This paper identifies that immuno-positive neoantigens cluster in 3D genome regions and are enriched in active chromosomal compartments, suggesting 3D genome information can improve neoantigen prioritization.

BMC Medical Genomics · Aug 1, 2020Peer-reviewedBioinformatics

Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with multiple exponential functions

Ying Zhou, Kai Yuan, Yaoliang Yu, Xumin Ni, Pengtao Xie, Eric P. Xing, Shuhua Xu

This paper introduces MALDmef, a method for inferring multiple-wave admixture by modeling LD decay with multiple exponential functions, showing improved accuracy over existing methods in simulated and real data.

bioRxiv · Sep 14, 2015 · PreprintEvolutionary Biology