Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genome

MUFFIN: multi-scale feature fusion for drug–drug interaction prediction

(2021) Yujie Chen et al.   BIOINFORMATICS

DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning

(2021) Juntao Chen et al.   Frontiers of Computer Science

Basic polar and hydrophobic properties are the main characteristics that affect the binding of transcription factors to methylation sites

(2020) Zijie Shen et al.   BIOINFORMATICS

Application of deep learning methods in biological networks

(2020) Shuting Jin et al.   BRIEFINGS IN BIOINFORMATICS

An Unbiased Predictive Model to Detect DNA Methylation Propensity of CpG Islands in the Human Genome

(2020) Dicle Yalcin et al.   Current Bioinformatics

Accurate prediction of DNA N4-methylcytosine sites via boost-learning various types of sequence features

(2020) Zhixun Zhao et al.   BMC GENOMICS

Predicting enhancer-promoter interactions by deep learning and matching heuristic

(2020) Xiaoping Min et al.   BRIEFINGS IN BIOINFORMATICS

ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation

(2020) Lijun Cai et al.   BRIEFINGS IN BIOINFORMATICS

Protein Secondary Structure Prediction Using Character Bi-gram Embedding and Bi-LSTM

(2020) Ashish Kumar Sharma et al.   Current Bioinformatics

Computational methods for identifying the critical nodes in biological networks

(2019) Xiangrong Liu et al.   BRIEFINGS IN BIOINFORMATICS

Analysis on epigenetic signature of cell reprogramming by computational DNA methylation profiles

(2019) Yongchun Zuo et al.   Current Bioinformatics

A novel molecular representation with BiGRU neural networks for learning atom

(2019) Xuan Lin et al.   BRIEFINGS IN BIOINFORMATICS

4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-methylcytosine Sites in the Mouse Genome

(2019) Manavalan et al.   Cells

Single molecule real-time (SMRT) sequencing comes of age: applications and utilities for medical diagnostics

(2018) Simon Ardui et al.   NUCLEIC ACIDS RESEARCH

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

Spark-IDPP: high-throughput and scalable prediction of intrinsically disordered protein regions with Spark clusters on the Cloud

(2018) Bożena Małysiak-Mrozek et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

New concepts in DNA methylation

(2014) Albert Jeltsch et al.   TRENDS IN BIOCHEMICAL SCIENCES

Exploring genome wide bisulfite sequencing for DNA methylation analysis in livestock: a technical assessment

(2014) Rachael Doherty et al.   Frontiers in Genetics

search GenBank: interactive orchestration and ad-hoc choreography of Web services in the exploration of the biomedical resources of the National Center For Biotechnology Information

(2013) Dariusz Mrozek et al.   BMC BIOINFORMATICS

Tet1 Is Critical for Neuronal Activity-Regulated Gene Expression and Memory Extinction

(2013) Andrii Rudenko et al.   NEURON

Functions of DNA methylation: islands, start sites, gene bodies and beyond

(2012) Peter A. Jones   NATURE REVIEWS GENETICS

Enrichment constrained time-dependent clustering analysis for finding meaningful temporal transcription modules

(2009) Jia Meng et al.   BIOINFORMATICS