Author

Yang Yu

University of CalgaryORCID 0000-0003-2125-3229Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yang Yu7 papers · Capital Medical University

Biology Disciplines

Click to filter author papers

Bioinformatics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Pathum KossinnaiD· 2 shared Qing LiiD· 2 shared Qingrun ZhangiD· 2 shared Wenyuan LiaoiD· 2 shared Hengtong ZhangiD· 1 shared Ka‐Chun WongiD· 1 shared Lei HuangiD· 1 shared Peilin ZhaoiD· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 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

2 shared papersBioinformatics

Pathum KossinnaORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedOct 2, 2023

XA4C: eXplainable representation learning via Autoencoders revealing Critical genes

Qing Li, Yang Yu, Pathum Kossinna…·Qingrun Zhang

XA4C identifies Critical genes using explainable autoencoders, revealing novel biological insights in cancer gene expression data.

11 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 28, 2023

A dual diffusion model enables 3D binding bioactive molecule generation and lead optimization given target pockets

Lei Huang, Tingyang Xu, Yang Yu…·Hengtong Zhang

This paper introduces PMDM, a dual diffusion model for generating 3D bioactive molecules and optimizing leads for specific protein targets.

6 citations

diffusion modeldrug response / drug discovery

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 21, 2021

Explainable autoencoder-based representation learning for gene expression data

Yang Yu, Pathum Kossinna, Qing Li…·Qingrun Zhang

The paper introduces XAE4Exp, an explainable autoencoder for gene expression data, identifying non-differentially expressed genes and cancer-related pathways using TCGA data.

3 citations

humanbulk RNA-seq

𝕏 PostBluesky