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Renqiang Min

Showing results (1-10 of 26) with videos related to

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Bioinformatics (Oxford, England)|November 1, 2011
TIP: a probabilistic method for identifying transcription factor target genes from ChIP-seq binding profilesChao Cheng, Renqiang Min, Mark Gerstein
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
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 4, 2009
Learned random-walk kernels and empirical-map kernels for protein sequence classificationRenqiang Min, Anthony Bonner, Jingjing Li, et al.
Journal of Bioinformatics and Computational Biology|December 17, 2009
A probabilistic framework to improve microrna target prediction by incorporating proteomics dataJingjing Li, Renqiang Min, Anthony Bonner, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 3, 2017
Accelerating deep neural network training with inconsistent stochastic gradient descentLinnan Wang, Yi Yang, Renqiang Min, et al.
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.
Plos Computational Biology|September 25, 2010
Gene expression variability within and between human populations and implications toward disease susceptibilityJingjing Li, Yu Liu, Taehyung Kim, 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.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|November 1, 2011
TIP: a probabilistic method for identifying transcription factor target genes from ChIP-seq binding profilesChao Cheng, Renqiang Min, Mark Gerstein
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
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 4, 2009
Learned random-walk kernels and empirical-map kernels for protein sequence classificationRenqiang Min, Anthony Bonner, Jingjing Li, et al.
Journal of Bioinformatics and Computational Biology|December 17, 2009
A probabilistic framework to improve microrna target prediction by incorporating proteomics dataJingjing Li, Renqiang Min, Anthony Bonner, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 3, 2017
Accelerating deep neural network training with inconsistent stochastic gradient descentLinnan Wang, Yi Yang, Renqiang Min, et al.
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.
Plos Computational Biology|September 25, 2010
Gene expression variability within and between human populations and implications toward disease susceptibilityJingjing Li, Yu Liu, Taehyung Kim, 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.
Pageof 3