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MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model

Bioinformatics, 2020-01, Vol.36 (2), p.388-392

2020

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Identification of cancer-related miRNA-lncRNA biomarkers using a basic miRNA-lncRNA network

PloS one, 2018-05, Vol.13 (5), p.e0196681-e0196681

2018

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Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species

PLoS computational biology, 2021-02, Vol.17 (2), p.e1008767-e1008767

2021

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LncRNApred: Classification of Long Non-Coding RNAs and Protein-Coding Transcripts by the Ensemble Algorithm with a New Hybrid Feature

PloS one, 2016-05, Vol.11 (5), p.e0154567-e0154567

2016

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Discovering the 'Dark matters' in expression data of miRNA based on the miRNA-mRNA and miRNA-lncRNA networks

BMC bioinformatics, 2018-10, Vol.19 (1), p.379-379, Article 379

2018

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Identifying RNA N6-Methyladenine Sites in Three Species Based on a Markov Model

Frontiers in genetics, 2021-03, Vol.12, p.650803-650803

2021

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Mining influential genes based on deep learning

BMC bioinformatics, 2021-01, Vol.22 (1), p.27-27, Article 27

2021

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miR+Pathway: the integration and visualization of miRNA and KEGG pathways

Briefings in bioinformatics, 2020-03, Vol.21 (2), p.699-708

2020

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Pathway-Based Personalized Analysis of Pan-Cancer Transcriptomic Data

Biomedicines, 2021-10, Vol.9 (11), p.1502

2021

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Identifying Functional Modules Using Energy Minimization with Graph Cuts

Current bioinformatics, 2021-01, Vol.16 (10), p.1236-1243

2021

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EpiMOGA: An Epistasis Detection Method Based on a Multi-Objective Genetic Algorithm

Genes, 2021-01, Vol.12 (2), p.191

2021

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SPMLMI: predicting lncRNA-miRNA interactions in humans using a structural perturbation method

PeerJ (San Francisco, CA), 2021-05, Vol.9, p.e11426-e11426, Article e11426

2021

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Personalized analysis of breast cancer using sample-specific networks

PeerJ (San Francisco, CA), 2020-05, Vol.8, p.e9161-e9161, Article e9161

2020

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Discovering Cancer-Related miRNAs from miRNA-Target Interactions by Support Vector Machines

Molecular therapy. Nucleic acids, 2020-03, Vol.19, p.1423-1433

2020

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MMG4: Recognition of G4-Forming Sequences Based on Markov Model

Journal of computational biology, 2024-10

2024

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PlantBind: an attention-based multi-label neural network for predicting plant transcription factor binding sites

Briefings in bioinformatics, 2022-11, Vol.23 (6)

2022

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NcPath: a novel platform for visualization and enrichment analysis of human non-coding RNA and KEGG signaling pathways

Bioinformatics (Oxford, England), 2023-01, Vol.39 (1)

2023

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Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture

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

2022

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SOMM4mC: a second-order Markov model for DNA N4-methylcytosine site prediction in six species

Bioinformatics, 2020-08, Vol.36 (14), p.4103-4105

2020

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LRBmat: A novel gut microbial interaction and individual heterogeneity inference method for colorectal cancer

Journal of theoretical biology, 2023-08, Vol.571, p.111538-111538, Article 111538

2023

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On-site SERS analysis and intelligent multi-identification of fentanyl class substances by deep machine learning

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2025-01, Vol.325, p.125090, Article 125090

2025

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MiRLoc: predicting miRNA subcellular localization by incorporating miRNA–mRNA interactions and mRNA subcellular localization

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

2022

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LncCeRBase: a database of experimentally validated human competing endogenous long non-coding RNAs

Database : the journal of biological databases and curation, 2018-01, Vol.2018

2018

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Predicting the structure of unexplored novel fentanyl analogues by deep learning model

Briefings in bioinformatics, 2022-11, Vol.23 (6)

2022

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Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model

Interdisciplinary sciences : computational life sciences, 2024-09, Vol.16 (3), p.712-726

2024

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MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model

Identification of cancer-related miRNA-lncRNA biomarkers using a basic miRNA-lncRNA network

Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species

LncRNApred: Classification of Long Non-Coding RNAs and Protein-Coding Transcripts by the Ensemble Algorithm with a New Hybrid Feature

Discovering the 'Dark matters' in expression data of miRNA based on the miRNA-mRNA and miRNA-lncRNA networks

Identifying RNA N6-Methyladenine Sites in Three Species Based on a Markov Model

Mining influential genes based on deep learning

miR+Pathway: the integration and visualization of miRNA and KEGG pathways

Pathway-Based Personalized Analysis of Pan-Cancer Transcriptomic Data

Identifying Functional Modules Using Energy Minimization with Graph Cuts

EpiMOGA: An Epistasis Detection Method Based on a Multi-Objective Genetic Algorithm

SPMLMI: predicting lncRNA-miRNA interactions in humans using a structural perturbation method

Personalized analysis of breast cancer using sample-specific networks

Discovering Cancer-Related miRNAs from miRNA-Target Interactions by Support Vector Machines

MMG4: Recognition of G4-Forming Sequences Based on Markov Model

PlantBind: an attention-based multi-label neural network for predicting plant transcription factor binding sites

NcPath: a novel platform for visualization and enrichment analysis of human non-coding RNA and KEGG signaling pathways

Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture

SOMM4mC: a second-order Markov model for DNA N4-methylcytosine site prediction in six species

LRBmat: A novel gut microbial interaction and individual heterogeneity inference method for colorectal cancer

On-site SERS analysis and intelligent multi-identification of fentanyl class substances by deep machine learning

MiRLoc: predicting miRNA subcellular localization by incorporating miRNA–mRNA interactions and mRNA subcellular localization

LncCeRBase: a database of experimentally validated human competing endogenous long non-coding RNAs

Predicting the structure of unexplored novel fentanyl analogues by deep learning model

Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model

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