Renming Liu

Renming Liu

Michigan State University

H-index: 6

North America-United States

About Renming Liu

Renming Liu, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Michigan State University, specializes in the field of Computational Biology.

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

Deep learning in single-cell analysis

Joint representation of molecular networks from multiple species improves gene classification

Single-Cell Multimodal Prediction via Transformers

Graph Positional and Structural Encoder

SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology

Single cells are spatial tokens: Transformers for spatial transcriptomic data imputation

PyGenePlexus: a Python package for gene discovery using network-based machine learning

A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models

Renming Liu Information

University

Position

___

Citations(all)

129

Citations(since 2020)

129

Cited By

6

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Renming Liu Skills & Research Interests

Computational Biology

Top articles of Renming Liu

Deep learning in single-cell analysis

ACM Transactions on Intelligent Systems and Technology

2022/10/22

Joint representation of molecular networks from multiple species improves gene classification

PLOS Computational Biology

2024/1/10

Single-Cell Multimodal Prediction via Transformers

2023/10/21

Graph Positional and Structural Encoder

arXiv preprint arXiv:2307.07107

2023/7/14

Renming Liu
Renming Liu

H-Index: 1

Guy Wolf
Guy Wolf

H-Index: 10

SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology

bioRxiv

2023/4/12

Single cells are spatial tokens: Transformers for spatial transcriptomic data imputation

arXiv preprint arXiv:2302.03038

2023/2/6

PyGenePlexus: a Python package for gene discovery using network-based machine learning

Bioinformatics

2023/2

Renming Liu
Renming Liu

H-Index: 1

Arjun Krishnan
Arjun Krishnan

H-Index: 5

A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models

bioRxiv

2023

Open Biomedical Network Benchmark A Python Toolkit for Benchmarking Datasets with Biomedical Networks

bioRxiv

2023

Renming Liu
Renming Liu

H-Index: 1

Arjun Krishnan
Arjun Krishnan

H-Index: 5

Accurately modeling biased random walks on weighted networks using node2vec+

Bioinformatics

2023/1

Dance: A deep learning library and benchmark for single-cell analysis

bioRxiv

2022/10/21

Applications of an Association Activity Coefficient Model, NRTL-PA, to Alcohol-Containing Mixtures

Industrial & Engineering Chemistry Research

2022/7/29

Renming Liu
Renming Liu

H-Index: 1

GenePlexus: a web-server for gene discovery using network-based machine learning

Nucleic Acids Research

2022/7/5

Renming Liu
Renming Liu

H-Index: 1

Arjun Krishnan
Arjun Krishnan

H-Index: 5

S2. Documentation for NRTL-PA Documentation Version 1.1 Corresponds to nrtlpa. dll version 2.6. 5rel April 20th, 2022

2022/4/20

Renming Liu
Renming Liu

H-Index: 1

Towards a taxonomy of graph learning datasets

arXiv preprint arXiv:2110.14809

2021/10/27

PecanPy: a fast, efficient and parallelized Python implementation of node2vec

Bioinformatics

2021/3/24

Renming Liu
Renming Liu

H-Index: 1

Arjun Krishnan
Arjun Krishnan

H-Index: 5

Supervised learning is an accurate method for network-based gene classification

Bioinformatics

2020/6

See List of Professors in Renming Liu University(Michigan State University)

Co-Authors

academic-engine