Wanwen Zeng

About Wanwen Zeng

Wanwen Zeng, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Bioinformatics, Machine Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling the Causal Mechanism between Genotypes and Phenotypes using Large-Scale Biobank Data and Context-Specific Regulatory Networks

Deepdrug: a general graph‐based deep learning framework for drug‐drug interactions and drug‐target interactions prediction

EpiGePT: a Pretrained Transformer model for epigenomics

HiChIPdb: a comprehensive database of HiChIP regulatory interactions

Deep generative modeling and clustering of single cell Hi-C data

Applications of transformer-based language models in bioinformatics: a survey

scGraph: a graph neural network-based approach to automatically identify cell types

Reusability report: compressing regulatory networks to vectors for interpreting gene expression and genetic variants

Wanwen Zeng Information

University

Position

___

Citations(all)

724

Citations(since 2020)

692

Cited By

280

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Wanwen Zeng Skills & Research Interests

Bioinformatics

Machine Learning

Deep Learning

Top articles of Wanwen Zeng

Modeling the Causal Mechanism between Genotypes and Phenotypes using Large-Scale Biobank Data and Context-Specific Regulatory Networks

2023/12/29

Deepdrug: a general graph‐based deep learning framework for drug‐drug interactions and drug‐target interactions prediction

Quantitative Biology

2023/9

EpiGePT: a Pretrained Transformer model for epigenomics

bioRxiv

2023/7/18

HiChIPdb: a comprehensive database of HiChIP regulatory interactions

Nucleic acids research

2023/1/6

Deep generative modeling and clustering of single cell Hi-C data

Briefings in Bioinformatics

2023/1

Applications of transformer-based language models in bioinformatics: a survey

2023/1/1

scGraph: a graph neural network-based approach to automatically identify cell types

Bioinformatics

2022/6/1

Reusability report: compressing regulatory networks to vectors for interpreting gene expression and genetic variants

Nature Machine Intelligence

2021/7

SilencerDB: a comprehensive database of silencers

Nucleic acids research

2021/1/8

IRIS: A method for predicting in vivo RNA secondary structures using PARIS data

Quantitative Biology

2020/12

Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network

Bioinformatics

2020/1/15

See List of Professors in Wanwen Zeng University(Tsinghua University)

Co-Authors

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