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Minghua Deng

Showing results (11-20 of 137) with videos related to

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Genomics, Proteomics & Bioinformatics|January 7, 2023
scEMAIL: Universal and Source-free Annotation Method for scRNA-seq Data with Novel Cell-type PerceptionHui Wan, Liang Chen, Minghua Deng
Bioinformatics (Oxford, England)|November 16, 2022
Clustering single-cell multi-omics data with MoClustMusu Yuan, Liang Chen, Minghua Deng
Briefings in Bioinformatics|April 28, 2024
scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics dataYuyao Zhai, Liang Chen, Minghua Deng
Bioinformatics (Oxford, England)|June 21, 2019
Compositional data network analysis via lasso penalized D-trace lossHuili Yuan, Shun He, Minghua Deng
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2003
Assessment of the reliability of protein-protein interactions and protein function predictionMinghua Deng, Fengzhu Sun, Ting Chen
Frontiers in Genetics|December 12, 2019
Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein BindingXiao Luo, Weilai Chi, Minghua Deng
Genome Research|October 12, 2023
ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methodsJiaxin Luo, Minghua Deng, Xuegong Zhang, et al.
BMC Medical Genomics|February 2, 2019
Detecting virus integration sites based on multiple related sequencing data by VirTectYuchao Xia, Yun Liu, Minghua Deng, et al.
Bioinformatics (Oxford, England)|October 24, 2020
Single-cell RNA-seq data semi-supervised clustering and annotation via structural regularized domain adaptationLiang Chen, Qiuyan He, Yuyao Zhai, et al.
Frontiers in Genetics|May 5, 2020
Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means AlgorithmLiang Chen, Weinan Wang, Yuyao Zhai, et al.
Pageof 14

Showing results (11-20 of 137) with videos related to

Sort By:
Pageof 14
Genomics, Proteomics & Bioinformatics|January 7, 2023
scEMAIL: Universal and Source-free Annotation Method for scRNA-seq Data with Novel Cell-type PerceptionHui Wan, Liang Chen, Minghua Deng
Bioinformatics (Oxford, England)|November 16, 2022
Clustering single-cell multi-omics data with MoClustMusu Yuan, Liang Chen, Minghua Deng
Briefings in Bioinformatics|April 28, 2024
scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics dataYuyao Zhai, Liang Chen, Minghua Deng
Bioinformatics (Oxford, England)|June 21, 2019
Compositional data network analysis via lasso penalized D-trace lossHuili Yuan, Shun He, Minghua Deng
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2003
Assessment of the reliability of protein-protein interactions and protein function predictionMinghua Deng, Fengzhu Sun, Ting Chen
Frontiers in Genetics|December 12, 2019
Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein BindingXiao Luo, Weilai Chi, Minghua Deng
Genome Research|October 12, 2023
ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methodsJiaxin Luo, Minghua Deng, Xuegong Zhang, et al.
BMC Medical Genomics|February 2, 2019
Detecting virus integration sites based on multiple related sequencing data by VirTectYuchao Xia, Yun Liu, Minghua Deng, et al.
Bioinformatics (Oxford, England)|October 24, 2020
Single-cell RNA-seq data semi-supervised clustering and annotation via structural regularized domain adaptationLiang Chen, Qiuyan He, Yuyao Zhai, et al.
Frontiers in Genetics|May 5, 2020
Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means AlgorithmLiang Chen, Weinan Wang, Yuyao Zhai, et al.
Pageof 14