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Renming Liu
Renming Liu
Michigan State University
Dirección de correo verificada de msu.edu - Página principal
Título
Citado por
Citado por
Año
PecanPy: a fast, efficient and parallelized Python implementation of node2vec
R Liu, A Krishnan
Bioinformatics 37 (19), 3377-3379, 2021
422021
Supervised learning is an accurate method for network-based gene classification
R Liu, CA Mancuso, A Yannakopoulos, KA Johnson, A Krishnan
Bioinformatics 36 (11), 3457-3465, 2020
352020
Accurately modeling biased random walks on weighted networks using node2vec+
R Liu, M Hirn, A Krishnan
Bioinformatics 39 (1), btad047, 2023
152023
Deep learning in single-cell analysis
D Molho, J Ding, W Tang, Z Li, H Wen, Y Wang, J Venegas, W Jin, R Liu, ...
ACM Transactions on Intelligent Systems and Technology 15 (3), 1-62, 2024
112024
Taxonomy of benchmarks in graph representation learning
R Liu, S Cantürk, F Wenkel, S McGuire, X Wang, A Little, L O’Bray, ...
Learning on Graphs Conference, 6: 1-6: 25, 2022
102022
Applications of an Association Activity Coefficient Model, NRTL-PA, to Alcohol-Containing Mixtures
AM Bala, R Liu, L Peereboom, CT Lira
Industrial & Engineering Chemistry Research 61 (42), 15603-15619, 2022
102022
Dance: A deep learning library and benchmark for single-cell analysis
J Ding, H Wen, W Tang, R Liu, Z Li, J Venegas, R Su, D Molho, W Jin, ...
bioRxiv, 2022.10. 19.512741, 2022
72022
Accurately modeling biased random walks on weighted graphs using node2vec+
R Liu, M Hirn, A Krishnan
arXiv preprint arXiv:2109.08031, 2021
52021
Single-Cell Multimodal Prediction via Transformers
W Tang, H Wen, R Liu, J Ding, W Jin, Y Xie, H Liu, J Tang
Proceedings of the 32nd ACM International Conference on Information and …, 2023
42023
PyGenePlexus: a Python package for gene discovery using network-based machine learning
CA Mancuso, R Liu, A Krishnan
Bioinformatics 39 (2), btad064, 2023
42023
Graph Positional and Structural Encoder
R Liu, S Cantürk, O Lapointe-Gagné, V Létourneau, G Wolf, D Beaini, ...
arXiv preprint arXiv:2307.07107, 2023
32023
Single cells are spatial tokens: Transformers for spatial transcriptomic data imputation
H Wen, W Tang, W Jin, J Ding, R Liu, F Shi, Y Xie, J Tang
arXiv preprint arXiv:2302.03038, 2023
32023
GenePlexus: a web-server for gene discovery using network-based machine learning
CA Mancuso, PS Bills, D Krum, J Newsted, R Liu, A Krishnan
Nucleic Acids Research 50 (W1), W358-W366, 2022
32022
A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
W Tang, R Liu, H Wen, X Dai, J Ding, H Li, W Fan, Y Xie, J Tang
bioRxiv, 2023.10. 13.562243, 2023
22023
Towards a taxonomy of graph learning datasets
R Liu, S Cantürk, F Wenkel, D Sandfelder, D Kreuzer, A Little, S McGuire, ...
arXiv preprint arXiv:2110.14809, 2021
22021
DANCE: A deep learning library and benchmark platform for single-cell analysis
J Ding, R Liu, H Wen, W Tang, Z Li, J Venegas, R Su, D Molho, W Jin, ...
Genome Biology 25 (1), 72, 2024
12024
SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology
J Ding, J Venegas, Q Lu, Y Wang, L Wu, W Jin, H Wen, R Liu, W Tang, ...
bioRxiv, 2023.04. 11.536333, 2023
12023
Accurately Modeling Biased Random Walks on Weighted Graphs Using
R Liu, M Hirn, A Krishnan
arXiv preprint arXiv:2109.08031, 2021
12021
Joint representation of molecular networks from multiple species improves gene classification
CA Mancuso, KA Johnson, R Liu, A Krishnan
PLOS Computational Biology 20 (1), e1011773, 2024
2024
CONE: COntext-specific Network Embedding via Contextualized Graph Attention
R Liu, H Yuan, KA Johnson, A Krishnan
bioRxiv, 2023.10. 21.563390, 2023
2023
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Artículos 1–20