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Journal Article

DeepPBI-KG: a deep learning method for the prediction of phage-bacteria interactions based on key genes

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Tongqing Wei and others

Briefings in Bioinformatics, Volume 25, Issue 6, November 2024, bbae484, https://doi.org/10.1093/bib/bbae484

Published: 29 September 2024

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Journal Article

AMHMDA: attention aware multi-view similarity networks and hypergraph learning for miRNA–disease associations identification

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Qiao Ning and others

Briefings in Bioinformatics, Volume 24, Issue 2, March 2023, bbad094, https://doi.org/10.1093/bib/bbad094

Published: 11 March 2023

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Journal Article

FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites

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Qiao Ning and others

Briefings in Bioinformatics, Volume 23, Issue 6, November 2022, bbac421, https://doi.org/10.1093/bib/bbac421

Published: 27 September 2022

Journal Article

Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression

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Md Habibur Rahman and others

Briefings in Bioinformatics, Volume 22, Issue 5, September 2021, bbaa365, https://doi.org/10.1093/bib/bbaa365

Published: 06 January 2021

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Journal Article

scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder

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Bin Yu and others

Briefings in Bioinformatics, Volume 22, Issue 4, July 2021, bbaa316, https://doi.org/10.1093/bib/bbaa316

Published: 10 December 2020

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Journal Article

MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks

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Chen-Chen Li and Bin Liu

Briefings in Bioinformatics, Volume 21, Issue 6, November 2020, Pages 2133–2141, https://doi.org/10.1093/bib/bbz133

Published: 28 November 2019

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Journal Article

DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks

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Bin Liu and others

Briefings in Bioinformatics, Volume 21, Issue 5, September 2020, Pages 1733–1741, https://doi.org/10.1093/bib/bbz098

Published: 28 October 2019

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Journal Article

Identifying driver mutations from sequencing data of heterogeneous tumors in the era of personalized genome sequencing

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Jing Zhang and others

Briefings in Bioinformatics, Volume 15, Issue 2, March 2014, Pages 244–255, https://doi.org/10.1093/bib/bbt042

Published: 01 July 2013

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DeepPBI-KG: a deep learning method for the prediction of phage-bacteria interactions based on key genes

AMHMDA: attention aware multi-view similarity networks and hypergraph learning for miRNA–disease associations identification

FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites

Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression

scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder

MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks

DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks

Identifying driver mutations from sequencing data of heterogeneous tumors in the era of personalized genome sequencing

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DeepPBI-KG: a deep learning method for the prediction of phage-bacteria interactions based on key genes Open Access

AMHMDA: attention aware multi-view similarity networks and hypergraph learning for miRNA–disease associations identification Free

FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites Free

Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression Free

scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder Free

MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks Free

DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks Free

Identifying driver mutations from sequencing data of heterogeneous tumors in the era of personalized genome sequencing Free

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DeepPBI-KG: a deep learning method for the prediction of phage-bacteria interactions based on key genes

AMHMDA: attention aware multi-view similarity networks and hypergraph learning for miRNA–disease associations identification

FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites

Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression

scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder

MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks

DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks

Identifying driver mutations from sequencing data of heterogeneous tumors in the era of personalized genome sequencing