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Pu-Feng Du

Showing results (1-10 of 34) with videos related to

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Current Genomics|October 31, 2017
Predicting Protein Submitochondrial Locations: The 10th AnniversaryPu-Feng Du
Journal of Theoretical Biology|December 26, 2015
Predicting Golgi-resident protein types using pseudo amino acid compositions: Approaches with positional specific physicochemical propertiesYa-Sen Jiao, Pu-Feng Du
Briefings in Bioinformatics|April 6, 2025
scMUG: deep clustering analysis of single-cell RNA-seq data on multiple gene functional modulesDe-Min Liang, Pu-Feng Du
Frontiers in Genetics|March 4, 2025
WCSGNet: a graph neural network approach using weighted cell-specific networks for cell-type annotation in scRNA-seqYi-Ran Wang, Pu-Feng Du
Briefings in Bioinformatics|January 3, 2024
SilenceREIN: seeking silencers on anchors of chromatin loops by deep graph neural networksJian-Hua Pan, Pu-Feng Du
Journal of Theoretical Biology|May 8, 2016
Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: Approaches with minimal redundancy maximal relevance feature selectionYa-Sen Jiao, Pu-Feng Du
Journal of Theoretical Biology|January 13, 2017
Predicting protein submitochondrial locations by incorporating the positional-specific physicochemical properties into Chou's general pseudo-amino acid compositionsYa-Sen Jiao, Pu-Feng Du
Frontiers in Genetics|May 20, 2022
i5hmCVec: Identifying 5-Hydroxymethylcytosine Sites of <i>Drosophila</i> RNA Using Sequence Feature EmbeddingsHang-Yu Liu, Pu-Feng Du
IEEE Journal of Biomedical and Health Informatics|October 26, 2021
NPI-RGCNAE: Fast Predicting ncRNA-Protein Interactions Using the Relational Graph Convolutional Network Auto-EncoderHan Yu, Zi-Ang Shen, Pu-Feng Du
Briefings in Bioinformatics|November 14, 2025
scDIFF: automatic cell type annotation using scATAC-seq data by incorporating bulk-level genomic and epigenomic information in a deep diffusive transformerHao-Yu Wang, Hao Dong, Pu-Feng Du
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Current Genomics|October 31, 2017
Predicting Protein Submitochondrial Locations: The 10th AnniversaryPu-Feng Du
Journal of Theoretical Biology|December 26, 2015
Predicting Golgi-resident protein types using pseudo amino acid compositions: Approaches with positional specific physicochemical propertiesYa-Sen Jiao, Pu-Feng Du
Briefings in Bioinformatics|April 6, 2025
scMUG: deep clustering analysis of single-cell RNA-seq data on multiple gene functional modulesDe-Min Liang, Pu-Feng Du
Frontiers in Genetics|March 4, 2025
WCSGNet: a graph neural network approach using weighted cell-specific networks for cell-type annotation in scRNA-seqYi-Ran Wang, Pu-Feng Du
Briefings in Bioinformatics|January 3, 2024
SilenceREIN: seeking silencers on anchors of chromatin loops by deep graph neural networksJian-Hua Pan, Pu-Feng Du
Journal of Theoretical Biology|May 8, 2016
Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: Approaches with minimal redundancy maximal relevance feature selectionYa-Sen Jiao, Pu-Feng Du
Journal of Theoretical Biology|January 13, 2017
Predicting protein submitochondrial locations by incorporating the positional-specific physicochemical properties into Chou's general pseudo-amino acid compositionsYa-Sen Jiao, Pu-Feng Du
Frontiers in Genetics|May 20, 2022
i5hmCVec: Identifying 5-Hydroxymethylcytosine Sites of <i>Drosophila</i> RNA Using Sequence Feature EmbeddingsHang-Yu Liu, Pu-Feng Du
IEEE Journal of Biomedical and Health Informatics|October 26, 2021
NPI-RGCNAE: Fast Predicting ncRNA-Protein Interactions Using the Relational Graph Convolutional Network Auto-EncoderHan Yu, Zi-Ang Shen, Pu-Feng Du
Briefings in Bioinformatics|November 14, 2025
scDIFF: automatic cell type annotation using scATAC-seq data by incorporating bulk-level genomic and epigenomic information in a deep diffusive transformerHao-Yu Wang, Hao Dong, Pu-Feng Du
Pageof 4