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Minghua Deng

Showing results (31-40 of 137) with videos related to

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BMC Bioinformatics|April 1, 2017
Pysim-sv: a package for simulating structural variation data with GC-biasesYuchao Xia, Yun Liu, Minghua Deng, et al.
NAR Genomics and Bioinformatics|February 12, 2021
Deep soft <i>K</i>-means clustering with self-training for single-cell RNA sequence dataLiang Chen, Weinan Wang, Yuyao Zhai, et al.
Plos Genetics|April 5, 2013
Statistical analysis reveals co-expression patterns of many pairs of genes in yeast are jointly regulated by interacting lociLin Wang, Wei Zheng, Hongyu Zhao, et al.
Bioinformatics (Oxford, England)|January 31, 2004
Mapping Gene Ontology to proteins based on protein-protein interaction dataMinghua Deng, Zhidong Tu, Fengzhu Sun, et al.
Briefings in Bioinformatics|June 27, 2024
scPLAN: a hierarchical computational framework for single transcriptomics data annotation, integration and cell-type label refinementQirui Guo, Musu Yuan, Lei Zhang, et al.
BMC Bioinformatics|May 27, 2006
An integrated approach to the prediction of domain-domain interactionsHyunju Lee, Minghua Deng, Fengzhu Sun, et al.
Journal of Bioinformatics and Computational Biology|September 22, 2015
Estimation of isoform expression in RNA-seq data using a hierarchical Bayesian modelZengmiao Wang, Jun Wang, Changjing Wu, et al.
Bioinformatics (Oxford, England)|June 7, 2015
CCLasso: correlation inference for compositional data through LassoHuaying Fang, Chengcheng Huang, Hongyu Zhao, et al.
Briefings in Bioinformatics|February 22, 2024
Continually adapting pre-trained language model to universal annotation of single-cell RNA-seq dataHui Wan, Musu Yuan, Yiwei Fu, et al.
Journal of Theoretical Biology|March 24, 2005
Detecting differentially expressed genes by relative entropyXiting Yan, Minghua Deng, Wing K Fung, et al.
Pageof 14

Showing results (31-40 of 137) with videos related to

Sort By:
Pageof 14
BMC Bioinformatics|April 1, 2017
Pysim-sv: a package for simulating structural variation data with GC-biasesYuchao Xia, Yun Liu, Minghua Deng, et al.
NAR Genomics and Bioinformatics|February 12, 2021
Deep soft <i>K</i>-means clustering with self-training for single-cell RNA sequence dataLiang Chen, Weinan Wang, Yuyao Zhai, et al.
Plos Genetics|April 5, 2013
Statistical analysis reveals co-expression patterns of many pairs of genes in yeast are jointly regulated by interacting lociLin Wang, Wei Zheng, Hongyu Zhao, et al.
Bioinformatics (Oxford, England)|January 31, 2004
Mapping Gene Ontology to proteins based on protein-protein interaction dataMinghua Deng, Zhidong Tu, Fengzhu Sun, et al.
Briefings in Bioinformatics|June 27, 2024
scPLAN: a hierarchical computational framework for single transcriptomics data annotation, integration and cell-type label refinementQirui Guo, Musu Yuan, Lei Zhang, et al.
BMC Bioinformatics|May 27, 2006
An integrated approach to the prediction of domain-domain interactionsHyunju Lee, Minghua Deng, Fengzhu Sun, et al.
Journal of Bioinformatics and Computational Biology|September 22, 2015
Estimation of isoform expression in RNA-seq data using a hierarchical Bayesian modelZengmiao Wang, Jun Wang, Changjing Wu, et al.
Bioinformatics (Oxford, England)|June 7, 2015
CCLasso: correlation inference for compositional data through LassoHuaying Fang, Chengcheng Huang, Hongyu Zhao, et al.
Briefings in Bioinformatics|February 22, 2024
Continually adapting pre-trained language model to universal annotation of single-cell RNA-seq dataHui Wan, Musu Yuan, Yiwei Fu, et al.
Journal of Theoretical Biology|March 24, 2005
Detecting differentially expressed genes by relative entropyXiting Yan, Minghua Deng, Wing K Fung, et al.
Pageof 14