相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Multi-substrate selectivity based on key loops and non-homologous domains: new insight into ALKBH family
Baofang Xu et al.
CELLULAR AND MOLECULAR LIFE SCIENCES (2021)
Prediction of drug response in multilayer networks based on fusion of multiomics data
Liang Yu et al.
METHODS (2021)
MNDR v3.0: mammal ncRNA-disease repository with increased coverage and annotation
Lin Ning et al.
NUCLEIC ACIDS RESEARCH (2021)
SubtypeDrug: a software package for prioritization of candidate cancer subtype-specific drugs
Xudong Han et al.
BIOINFORMATICS (2021)
Screening of Prospective Plant Compounds as H1R and CL1R Inhibitors and Its Antiallergic Efficacy through Molecular Docking Approach
Hasan Zulfiqar et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2021)
sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks
Mengting Niu et al.
PLANT MOLECULAR BIOLOGY (2021)
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides
Phasit Charoenkwan et al.
BIOINFORMATICS (2021)
Functional alterations caused by mutations reflect evolutionary trends of SARS-CoV-2
Liang Cheng et al.
BRIEFINGS IN BIOINFORMATICS (2021)
PPD: A Manually Curated Database for Experimentally Verified Prokaryotic Promoters
Wei Su et al.
JOURNAL OF MOLECULAR BIOLOGY (2021)
Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways
Liang Yu et al.
PLOS COMPUTATIONAL BIOLOGY (2021)
Funm6AViewer: a web server and R package for functional analysis of context-specific m6A RNA methylation
Song-Yao Zhang et al.
BIOINFORMATICS (2021)
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning
Md Mehedi Hasan et al.
BRIEFINGS IN BIOINFORMATICS (2021)
ConsRM: collection and large-scale prediction of the evolutionarily conserved RNA methylation sites, with implications for the functional epitranscriptome
Bowen Song et al.
BRIEFINGS IN BIOINFORMATICS (2021)
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
Phasit Charoenkwan et al.
BRIEFINGS IN BIOINFORMATICS (2021)
mRNALocater: Enhance the prediction accuracy of eukaryotic mRNA subcellular localization by using model fusion strategy
Qiang Tang et al.
MOLECULAR THERAPY (2021)
Prediction of drug-target interactions based on multi-layer network representation learning
Yifan Shang et al.
NEUROCOMPUTING (2021)
DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach
Hao Lv et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Identification of cyclin protein using gradient boost decision tree algorithm
Hasan Zulfiqar et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2021)
Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method
Hasan Zulfiqar et al.
MATHEMATICAL BIOSCIENCES AND ENGINEERING (2021)
A comprehensive review for gut microbes: technologies, interventions, metabolites and diseases
Changlu Qi et al.
BRIEFINGS IN FUNCTIONAL GENOMICS (2021)
Analysis of the Epigenetic Signature of Cell Reprogramming by Computational DNA Methylation Profiles
Yongchun Zuo et al.
CURRENT BIOINFORMATICS (2020)
DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species
Qiang Tang et al.
BIOINFORMATICS (2020)
Extremely-randomized-tree-based Prediction of N6-Methyladenosine Sites in Saccharomyces cerevisiae
Rajiv G. Govindaraj et al.
CURRENT GENOMICS (2020)
i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome
Md Mehedi Hasan et al.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES (2020)
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
Md. Mehedi Hasan et al.
BIOINFORMATICS (2020)
DeepLGP: a novel deep learning method for prioritizing lncRNA target genes
Tianyi Zhao et al.
BIOINFORMATICS (2020)
Integrated Analysis of mRNA-seq and miRNA-seq to identify c-MYC, YAP1 and miR-3960 as Major Players in the Anticancer Effects of Caffeic Acid Phenethyl Ester in Human Small Cell Lung Cancer Cell Line
Fei Mo et al.
CURRENT GENE THERAPY (2020)
Review of the Applications of Deep Learning in Bioinformatics
Yongqing Zhang et al.
CURRENT BIOINFORMATICS (2020)
im6A-TS-CNN: Identifying the N6-Methyladenine Site in Multiple Tissues by Using the Convolutional Neural Network
Kewei Liu et al.
MOLECULAR THERAPY-NUCLEIC ACIDS (2020)
Exploring Drug Treatment Patterns Based on the Action of Drug and Multilayer Network Model
Liang Yu et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2020)
iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides
Phasit Charoenkwan et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2020)
iDPPIV-SCM: A Sequence-Based Predictor for Identifying and Analyzing Dipeptidyl Peptidase IV (DPP-IV) Inhibitory Peptides Using a Scoring Card Method
Phasit Charoenkwan et al.
JOURNAL OF PROTEOME RESEARCH (2020)
m5UPred: A Web Server for the Prediction of RNA 5-Methyluridine Sites from Sequences
Jie Jiang et al.
MOLECULAR THERAPY-NUCLEIC ACIDS (2020)
iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes
Hao Lv et al.
ISCIENCE (2020)
PSAC: Proactive Sequence-Aware Content Caching via Deep Learning at the Network Edge
Yin Zhang et al.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2020)
i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes
Md. Mehedi Hasan et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2020)
Computational identification of N6-methyladenosine sites in multiple tissues of mammals
Fu-Ying Dao et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2020)
Function determinants of TET proteins: the arrangements of sequence motifs with specific codes
Dongyang Liu et al.
BRIEFINGS IN BIOINFORMATICS (2019)
4mCPred: machine learning methods for DNA N4-methylcytosine sites prediction
Wenying He et al.
BIOINFORMATICS (2019)
Iterative feature representations improve N4-methylcytosine site prediction
Leyi Wei et al.
BIOINFORMATICS (2019)
Reduction of Autophagic Accumulation in Pompe Disease Mouse Model Following Gene Therapy
Angela L. McCall et al.
CURRENT GENE THERAPY (2019)
Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation
Balachandran Manavalan et al.
MOLECULAR THERAPY-NUCLEIC ACIDS (2019)
4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-Methylcytosine Sites in the Mouse Genome
Balachandran Manavalan et al.
CELLS (2019)
Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA
Quan Zou et al.
RNA (2019)
4mCCNN: Identification of N4-Methylcytosine Sites in Prokaryotes Using Convolutional Neural Network
Jhabindra Khanal et al.
IEEE ACCESS (2019)
RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference by using Chou's five-step rule
Lei Zheng et al.
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2019)
Electroencephalography Based Fusion Two-Dimensional (2D)-Convolution Neural Networks (CNN) Model for Emotion Recognition System
Yea-Hoon Kwon et al.
SENSORS (2018)
Tumor origin detection with tissue-specific miRNA and DNA methylation markers
Wei Tang et al.
BIOINFORMATICS (2018)
Pro54DB: a database for experimentally verified sigma-54 promoters
Zhi-Yong Liang et al.
BIOINFORMATICS (2017)
MethSMRT: an integrative database for DNA N6-methyladenine and N4-methylcytosine generated by single-molecular real-time sequencing
Pohao Ye et al.
NUCLEIC ACIDS RESEARCH (2017)
Emerging Trends Word2Vec
Kenneth Ward Church
NATURAL LANGUAGE ENGINEERING (2017)
iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties
Wei Chen et al.
BIOINFORMATICS (2017)
DeepChrome: deep-learning for predicting gene expression from histone modifications
Ritambhara Singh et al.
BIOINFORMATICS (2016)
3-methylcytosine in cancer: an underappreciated methyl lesion?
Thomas Pataillot-Meakin et al.
EPIGENOMICS (2016)
Function and information content of DNA methylation
Dirk Schuebeler
NATURE (2015)
Exploring genorne wide bisulfite sequencing for DNA rnethylation analysis in livestock: a technical assessment
Rachael Doherty et al.
FRONTIERS IN GENETICS (2014)
Entering the era of bacterial epigenomics with single molecule real time DNA sequencing
Brigid M. Davis et al.
CURRENT OPINION IN MICROBIOLOGY (2013)
DNA methylation: roles in mammalian development
Zachary D. Smith et al.
NATURE REVIEWS GENETICS (2013)
SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs
Phasit Charoenkwan et al.
PLOS ONE (2013)
CD-HIT: accelerated for clustering the next-generation sequencing data
Limin Fu et al.
BIOINFORMATICS (2012)
Xanthomonas AvrBs3 Family-Type III Effectors: Discovery and Function
Jens Boch et al.
ANNUAL REVIEW OF PHYTOPATHOLOGY, VOL 48 (2010)
Direct detection of DNA methylation during single-molecule, real-time sequencing
Benjamin A. Flusberg et al.
NATURE METHODS (2010)
Two Sample Logo: a graphical representation of the differences between two sets of sequence alignments
Vladimir Vacic et al.
BIOINFORMATICS (2006)
DNA methylation and human disease
KD Robertson
NATURE REVIEWS GENETICS (2005)