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Martin Renqiang Min

Showing results (1-10 of 16) with videos related to

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Frontiers in Molecular Biosciences|June 3, 2021
Ranking-Based Convolutional Neural Network Models for Peptide-MHC Class I Binding PredictionZiqi Chen, Martin Renqiang Min, Xia Ning
Methods (San Diego, Calif.)|September 24, 2020
Model-based autoencoders for imputing discrete single-cell RNA-seq dataTian Tian, Martin Renqiang Min, Zhi Wei
Nature Machine Intelligence|February 21, 2022
A Deep Generative Model for Molecule Optimization via One Fragment ModificationZiqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|December 22, 2025
Identifying Combinatorial Regulatory Genes for Cell Fate Decision via Reparameterizable Subset ExplanationsJunhao Liu, Pengpeng Zhang, Martin Renqiang Min, et al.
Bioinformatics (Oxford, England)|July 25, 2015
High-order neural networks and kernel methods for peptide-MHC binding predictionPavel P Kuksa, Martin Renqiang Min, Rishabh Dugar, et al.
Nature Communications|April 3, 2026
Disentangled autoencoding equivariant diffusion model for controlled generation of 3D moleculesTianxiao Li, Haoran Liu, Hongyu Guo, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 4, 2013
An integrated approach to blood-based cancer diagnosis and biomarker discoveryMartin Renqiang Min, Salim Chowdhury, Yanjun Qi, et al.
Bioinformatics (Oxford, England)|May 28, 2024
Impeller: a path-based heterogeneous graph learning method for spatial transcriptomic data imputationZiheng Duan, Dylan Riffle, Ren Li, et al.
Proceedings of Machine Learning Research|December 12, 2025
Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset PerturbationsJunhao Liu, Siwei Xu, Dylan Riffle, et al.
Bioinformatics Advances|July 2, 2024
<i>Turtling</i>: a time-aware neural topic model on NIH grant dataRuiyi Zhang, Ziheng Duan, CheYu Lee, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Frontiers in Molecular Biosciences|June 3, 2021
Ranking-Based Convolutional Neural Network Models for Peptide-MHC Class I Binding PredictionZiqi Chen, Martin Renqiang Min, Xia Ning
Methods (San Diego, Calif.)|September 24, 2020
Model-based autoencoders for imputing discrete single-cell RNA-seq dataTian Tian, Martin Renqiang Min, Zhi Wei
Nature Machine Intelligence|February 21, 2022
A Deep Generative Model for Molecule Optimization via One Fragment ModificationZiqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|December 22, 2025
Identifying Combinatorial Regulatory Genes for Cell Fate Decision via Reparameterizable Subset ExplanationsJunhao Liu, Pengpeng Zhang, Martin Renqiang Min, et al.
Bioinformatics (Oxford, England)|July 25, 2015
High-order neural networks and kernel methods for peptide-MHC binding predictionPavel P Kuksa, Martin Renqiang Min, Rishabh Dugar, et al.
Nature Communications|April 3, 2026
Disentangled autoencoding equivariant diffusion model for controlled generation of 3D moleculesTianxiao Li, Haoran Liu, Hongyu Guo, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 4, 2013
An integrated approach to blood-based cancer diagnosis and biomarker discoveryMartin Renqiang Min, Salim Chowdhury, Yanjun Qi, et al.
Bioinformatics (Oxford, England)|May 28, 2024
Impeller: a path-based heterogeneous graph learning method for spatial transcriptomic data imputationZiheng Duan, Dylan Riffle, Ren Li, et al.
Proceedings of Machine Learning Research|December 12, 2025
Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset PerturbationsJunhao Liu, Siwei Xu, Dylan Riffle, et al.
Bioinformatics Advances|July 2, 2024
<i>Turtling</i>: a time-aware neural topic model on NIH grant dataRuiyi Zhang, Ziheng Duan, CheYu Lee, et al.
Pageof 2