DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy
出版年份 2020 全文链接
标题
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy
作者
关键词
-
出版物
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2020-05-25
DOI
10.1093/bib/bbaa125
参考文献
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。- Deep convolutional neural networks for accurate somatic mutation detection
- (2019) Sayed Mohammad Ebrahim Sahraeian et al. Nature Communications
- DNN-Dom: predicting protein domain boundary from sequence alone by deep neural network
- (2019) Qiang Shi et al. BIOINFORMATICS
- Deep learning on chaos game representation for proteins
- (2019) Hannah F Löchel et al. BIOINFORMATICS
- Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
- (2019) Jakob Nikolas Kather et al. NATURE MEDICINE
- CTX phage of Vibrio cholerae: Genomics and applications
- (2019) Archana Pant et al. VACCINE
- DeepSol: a deep learning framework for sequence-based protein solubility prediction
- (2018) Sameer Khurana et al. BIOINFORMATICS
- Deep learning improves antimicrobial peptide recognition
- (2018) Daniel Veltri et al. BIOINFORMATICS
- Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors
- (2018) Jiawei Wang et al. BIOINFORMATICS
- Random forest based similarity learning for single cell RNA sequencing data
- (2018) Maziyar Baran Pouyan et al. BIOINFORMATICS
- OUP accepted manuscript
- (2018) BRIEFINGS IN BIOINFORMATICS
- Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework
- (2018) Yanju Zhang et al. BRIEFINGS IN BIOINFORMATICS
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- Bastion3: a two-layer ensemble predictor of type III secreted effectors
- (2018) Jiawei Wang et al. BIOINFORMATICS
- Identifying antimicrobial peptides using word embedding with deep recurrent neural networks
- (2018) Md-Nafiz Hamid et al. BIOINFORMATICS
- PredGly: predicting lysine glycation sites for Homo sapiens based on XGboost feature optimization
- (2018) Jialin Yu et al. BIOINFORMATICS
- Re-estimating annual deaths due to multidrug-resistant organism infections
- (2018) Jason P. Burnham et al. INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY
- VFDB 2019: a comparative pathogenomic platform with an interactive web interface
- (2018) Bo Liu et al. NUCLEIC ACIDS RESEARCH
- Victors: a web-based knowledge base of virulence factors in human and animal pathogens
- (2018) Samantha Sayers et al. NUCLEIC ACIDS RESEARCH
- PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method
- (2018) Yi Xiong et al. Frontiers in Microbiology
- HPSLPred: An Ensemble Multi-Label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source
- (2017) Shixiang Wan et al. PROTEOMICS
- Detecting N6-methyladenosine sites from RNA transcriptomes using ensemble Support Vector Machines
- (2017) Wei Chen et al. Scientific Reports
- CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods
- (2017) Li Zhang et al. Scientific Reports
- DeepChrome: deep-learning for predicting gene expression from histone modifications
- (2016) Ritambhara Singh et al. BIOINFORMATICS
- Convolutional neural network architectures for predicting DNA–protein binding
- (2016) Haoyang Zeng et al. BIOINFORMATICS
- Deep learning for computational biology
- (2016) Christof Angermueller et al. Molecular Systems Biology
- Bioactive Molecule Prediction Using Extreme Gradient Boosting
- (2016) Ismail Babajide Mustapha et al. MOLECULES
- Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center
- (2016) Alice R. Wattam et al. NUCLEIC ACIDS RESEARCH
- An Ensemble Method to Distinguish Bacteriophage Virion from Non-Virion Proteins Based on Protein Sequence Characteristics
- (2015) Lina Zhang et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Improving tRNAscan-SE Annotation Results via Ensemble Classifiers
- (2015) Quan Zou et al. Molecular Informatics
- Predicting effects of noncoding variants with deep learning–based sequence model
- (2015) Jian Zhou et al. NATURE METHODS
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor
- (2015) Vijayakumar Saravanan et al. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
- Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
- (2015) Ehsaneddin Asgari et al. PLoS One
- Curation, integration and visualization of bacterial virulence factors in PATRIC
- (2014) Chunhong Mao et al. BIOINFORMATICS
- Deep learning of the tissue-regulated splicing code
- (2014) Michael K. K. Leung et al. BIOINFORMATICS
- Estimating confidence intervals for information transfer analysis of confusion matrices
- (2014) Mahan Azadpour et al. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
- MP3: A Software Tool for the Prediction of Pathogenic Proteins in Genomic and Metagenomic Data
- (2014) Ankit Gupta et al. PLoS One
- Accurate prediction of bacterial type IV secreted effectors using amino acid composition and PSSM profiles
- (2013) Lingyun Zou et al. BIOINFORMATICS
- PPIevo : Protein–protein interaction prediction from PSSM based evolutionary information
- (2013) Javad Zahiri et al. GENOMICS
- Computationally identifying virulence factors based on KEGG pathways
- (2013) Weiren Cui et al. Molecular BioSystems
- Deep architectures for protein contact map prediction
- (2012) Pietro Di Lena et al. BIOINFORMATICS
- A Comparison of Computational Methods for Identifying Virulence Factors
- (2012) Lu-Lu Zheng et al. PLoS One
- Diseases at the livestock–wildlife interface: Status, challenges, and opportunities in the United States
- (2012) Ryan S. Miller et al. PREVENTIVE VETERINARY MEDICINE
- Paradigms of pathogenesis: targeting the mobile genetic elements of disease
- (2012) Eric C. Keen Frontiers in Cellular and Infection Microbiology
- Identifying Bacterial Virulent Proteins by Fusing a Set of Classifiers Based on Variants of Chou's Pseudo Amino Acid Composition and on Evolutionary Information
- (2011) Loris Nanni et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Genomic anatomy of Escherichia coli O157:H7 outbreaks
- (2011) M. Eppinger et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- CD-HIT Suite: a web server for clustering and comparing biological sequences
- (2010) Ying Huang et al. BIOINFORMATICS
- On Position-Specific Scoring Matrix for Protein Function Prediction
- (2010) Jong Cheol Jeong et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Sequence-based prediction of protein interaction sites with an integrative method
- (2009) Xue-wen Chen et al. BIOINFORMATICS
- BLAST+: architecture and applications
- (2009) Christiam Camacho et al. BMC BIOINFORMATICS
- VirulentPred: a SVM based prediction method for virulent proteins in bacterial pathogens
- (2008) Aarti Garg et al. BMC BIOINFORMATICS
- An ensemble of support vector machines for predicting virulent proteins
- (2008) Loris Nanni et al. EXPERT SYSTEMS WITH APPLICATIONS
- PseAAC: A flexible web server for generating various kinds of protein pseudo amino acid composition
- (2007) Hong-Bin Shen et al. ANALYTICAL BIOCHEMISTRY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now