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A roadmap for multi-omics data integration using deep learning

Briefings in bioinformatics, 2022-01, Vol.23 (1)

2022

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Multimodal deep learning for biomedical data fusion: a review

Briefings in bioinformatics, 2022-03, Vol.23 (2)

2022

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Implementing the FAIR Data Principles in precision oncology: review of supporting initiatives

Briefings in bioinformatics, 2020-05, Vol.21 (3), p.936-945

2020

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Trends in the development of miRNA bioinformatics tools

Briefings in bioinformatics, 2019-09, Vol.20 (5), p.1836-1852

2019

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Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application

Briefings in bioinformatics, 2019-09, Vol.20 (5), p.1795-1811

2019

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Utilizing graph machine learning within drug discovery and development

Briefings in bioinformatics, 2021-11, Vol.22 (6)

2021

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Current challenges and best-practice protocols for microbiome analysis

Briefings in bioinformatics, 2021-01, Vol.22 (1), p.178-193

2021

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Sensitivity and specificity of information criteria

Briefings in bioinformatics, 2020-03, Vol.21 (2), p.553-565

2020

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Machine learning approaches and databases for prediction of drug–target interaction: a survey paper

Briefings in bioinformatics, 2021-01, Vol.22 (1), p.247-269

2021

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Artificial intelligence in clinical research of cancers

Briefings in bioinformatics, 2022-01, Vol.23 (1)

2022

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From G1 to M: a comparative study of methods for identifying cell cycle phases

Briefings in bioinformatics, 2024-01, Vol.25 (2)

2024

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A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction

Briefings in bioinformatics, 2020-07, Vol.21 (4), p.1119-1135

2020

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The five pillars of computational reproducibility: bioinformatics and beyond

Briefings in bioinformatics, 2023-11, Vol.24 (6), p.1-13

2023

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Exploration of databases and methods supporting drug repurposing: a comprehensive survey

Briefings in bioinformatics, 2021-03, Vol.22 (2), p.1656-1678

2021

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Circular RNAs and complex diseases: from experimental results to computational models

Briefings in bioinformatics, 2021-11, Vol.22 (6)

2021

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The small peptide world in long noncoding RNAs

Briefings in bioinformatics, 2019-09, Vol.20 (5), p.1853-1864

2019

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Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions

Briefings in bioinformatics, 2022-01, Vol.23 (1)

2022

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A critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation

Briefings in bioinformatics, 2020-07, Vol.21 (4), p.1285-1292

Fang, Jianwen

2020

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iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites

Briefings in bioinformatics, 2019-03, Vol.20 (2), p.638-658

2019

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Network analyses in microbiome based on high-throughput multi-omics data

Briefings in bioinformatics, 2021-03, Vol.22 (2), p.1639-1655

2021

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Evaluation of single-cell classifiers for single-cell RNA sequencing data sets

Briefings in bioinformatics, 2020-09, Vol.21 (5), p.1581-1595

2020

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A review on longitudinal data analysis with random forest

Briefings in bioinformatics, 2023-03, Vol.24 (2)

2023

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Interpretation of differential gene expression results of RNA-seq data: review and integration

Briefings in bioinformatics, 2019-11, Vol.20 (6), p.2044-2054

2019

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Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases

Briefings in bioinformatics, 2019-09, Vol.20 (5), p.1878-1912

2019

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Closing the circle: current state and perspectives of circular RNA databases

Briefings in bioinformatics, 2021-01, Vol.22 (1), p.288-297

2021

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A roadmap for multi-omics data integration using deep learning

Multimodal deep learning for biomedical data fusion: a review

Implementing the FAIR Data Principles in precision oncology: review of supporting initiatives

Trends in the development of miRNA bioinformatics tools

Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application

Utilizing graph machine learning within drug discovery and development

Current challenges and best-practice protocols for microbiome analysis

Sensitivity and specificity of information criteria

Machine learning approaches and databases for prediction of drug–target interaction: a survey paper

Artificial intelligence in clinical research of cancers

From G1 to M: a comparative study of methods for identifying cell cycle phases

A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction

The five pillars of computational reproducibility: bioinformatics and beyond

Exploration of databases and methods supporting drug repurposing: a comprehensive survey

Circular RNAs and complex diseases: from experimental results to computational models

The small peptide world in long noncoding RNAs

Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions

A critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation

iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites

Network analyses in microbiome based on high-throughput multi-omics data

Evaluation of single-cell classifiers for single-cell RNA sequencing data sets

A review on longitudinal data analysis with random forest

Interpretation of differential gene expression results of RNA-seq data: review and integration

Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases

Closing the circle: current state and perspectives of circular RNA databases

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