DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites

MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters

(2019) Meng Zhang et al.   BIOINFORMATICS

Positive-unlabelled learning of glycosylation sites in the human proteome

(2019) Fuyi Li et al.   BMC BIOINFORMATICS

Iterative feature representations improve N4-methylcytosine site prediction

(2019) Leyi Wei et al.   BIOINFORMATICS

DUNet: A deformable network for retinal vessel segmentation

(2019) Qiangguo Jin et al.   KNOWLEDGE-BASED SYSTEMS

Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation

(2019) Balachandran Manavalan et al.   Molecular Therapy-Nucleic Acids

ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides

(2019) Bing Rao et al.   BRIEFINGS IN BIOINFORMATICS

Convolutional neural network-based annotation of bacterial type IV secretion system effectors with enhanced accuracy and reduced false discovery

(2019) Jiajun Hong et al.   BRIEFINGS IN BIOINFORMATICS

Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome

(2018) Fuyi Li et al.   BIOINFORMATICS

70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features

(2018) Wenying He et al.   BMC Systems Biology

iDNA6mA-PseKNC: Identifying DNA N 6 -methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC

(2018) Pengmian Feng et al.   GENOMICS

Selective recognition of N 4-methylcytosine in DNA by engineered transcription-activator-like effectors

(2018) Preeti Rathi et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

4mCPred: Machine Learning Methods for DNA N4-methylcytosine sites Prediction

(2018) Wenying He et al.   BIOINFORMATICS

Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species

(2018) Leyi Wei et al.   BIOINFORMATICS

Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods

(2018) Fuyi Li et al.   BRIEFINGS IN BIOINFORMATICS

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

The DNA methyltransferase family: a versatile toolkit for epigenetic regulation

(2017) Frank Lyko   NATURE REVIEWS GENETICS

Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions

(2016) Pengmian Feng et al.   Molecular BioSystems

MethSMRT: an integrative database for DNA N6-methyladenine and N4-methylcytosine generated by single-molecular real-time sequencing

(2016) Pohao Ye et al.   NUCLEIC ACIDS RESEARCH

DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

(2016) Daniel Quang et al.   NUCLEIC ACIDS RESEARCH

SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features

(2016) Yuan Zhou et al.   NUCLEIC ACIDS RESEARCH

Abundant DNA 6mA methylation during early embryogenesis of zebrafish and pig

(2016) Jianzhao Liu et al.   Nature Communications

GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome

(2015) Fuyi Li et al.   BIOINFORMATICS

qDNAmod: a statistical model-based tool to reveal intercellular heterogeneity of DNA modification from SMRT sequencing data

(2014) Zhixing Feng et al.   NUCLEIC ACIDS RESEARCH

CD-HIT: accelerated for clustering the next-generation sequencing data

(2012) Limin Fu et al.   BIOINFORMATICS

Direct detection of DNA methylation during single-molecule, real-time sequencing

(2010) Benjamin A Flusberg et al.   NATURE METHODS

Finding the fifth base: Genome-wide sequencing of cytosine methylation

(2009) R. Lister et al.   GENOME RESEARCH