SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins
出版年份 2022 全文链接
标题
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins
作者
关键词
-
出版物
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 146, Issue -, Pages 105704
出版商
Elsevier BV
发表日期
2022-06-07
DOI
10.1016/j.compbiomed.2022.105704
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。- SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids
- (2022) Phasit Charoenkwan et al. Pharmaceutics
- BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides
- (2021) Phasit Charoenkwan et al. BIOINFORMATICS
- Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card method
- (2021) Phasit Charoenkwan et al. Scientific Reports
- StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
- (2021) Phasit Charoenkwan et al. BRIEFINGS IN BIOINFORMATICS
- STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction
- (2021) Shaherin Basith et al. BRIEFINGS IN BIOINFORMATICS
- Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2
- (2021) Balachandran Manavalan et al. BRIEFINGS IN BIOINFORMATICS
- UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning
- (2021) Phasit Charoenkwan et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors
- (2021) Aijaz Ahmad Malik et al. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
- StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
- (2021) Phasit Charoenkwan et al. METHODS
- A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides
- (2021) Phasit Charoenkwan et al. Scientific Reports
- A Method for Prediction of Thermophilic Protein Based on Reduced Amino Acids and Mixed Features
- (2020) Changli Feng et al. Frontiers in Bioengineering and Biotechnology
- DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy
- (2020) Ruopeng Xie et al. BRIEFINGS IN BIOINFORMATICS
- Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation
- (2020) Phasit Charoenkwan et al. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
- Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method
- (2020) Hao Lv et al. BRIEFINGS IN BIOINFORMATICS
- iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides
- (2020) Phasit Charoenkwan et al. Journal of Chemical Information and Modeling
- iDPPIV-SCM: A Sequence-Based Predictor for Identifying and Analyzing Dipeptidyl Peptidase IV (DPP-IV) Inhibitory Peptides Using a Scoring Card Method
- (2020) Phasit Charoenkwan et al. JOURNAL OF PROTEOME RESEARCH
- Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification
- (2020) Xiao Liang et al. BRIEFINGS IN BIOINFORMATICS
- DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops
- (2020) Fu-Ying Dao et al. BRIEFINGS IN BIOINFORMATICS
- i6mA-Pred: Identifying DNA N6-methyladenine sites in the rice genome
- (2019) Wei Chen et al. BIOINFORMATICS
- iRNAD: a computational tool for identifying D modification sites in RNA sequence
- (2019) Zhao-Chun Xu et al. BIOINFORMATICS
- A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae
- (2019) Hui Yang et al. BRIEFINGS IN BIOINFORMATICS
- iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou’s 5-Steps Rule and Informative Physicochemical Properties
- (2019) Phasit Charoenkwan et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
- (2018) Zhen Chen et al. BIOINFORMATICS
- Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique
- (2018) Fu-Ying Dao et al. BIOINFORMATICS
- Identification of thermophilic proteins by incorporating evolutionary and acid dissociation information into Chou's general pseudo amino acid composition
- (2016) Guo-Liang Fan et al. JOURNAL OF THEORETICAL BIOLOGY
- Optimal subset selection of primary sequence features using the genetic algorithm for thermophilic proteins identification
- (2014) LiQiang Wang et al. BIOTECHNOLOGY LETTERS
- Estimating confidence intervals for information transfer analysis of confusion matrices
- (2014) Mahan Azadpour et al. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
- Prediction and Analysis of Antibody Amyloidogenesis from Sequences
- (2013) Chyn Liaw et al. PLoS One
- A similarity distance of diversity measure for discriminating mesophilic and thermophilic proteins
- (2012) Yong-Chun Zuo et al. AMINO ACIDS
- Detecting thermophilic proteins through selecting amino acid and dipeptide composition features
- (2011) Songyot Nakariyakul et al. AMINO ACIDS
- Prediction of Thermophilic Protein with Pseudo Amino Acid Composition: An Approach from Combined Feature Selection and Reduction
- (2011) De Wang et al. PROTEIN AND PEPTIDE LETTERS
- CD-HIT Suite: a web server for clustering and comparing biological sequences
- (2010) Ying Huang et al. BIOINFORMATICS
- Prediction of thermophilic proteins using feature selection technique
- (2010) Hao Lin et al. JOURNAL OF MICROBIOLOGICAL METHODS
- Reliable prediction of protein thermostability change upon double mutation from amino acid sequence
- (2009) Liang-Tsung Huang et al. BIOINFORMATICS
- Computing protein stabilities from their chain lengths
- (2009) K. Ghosh et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Exploiting the Link between Protein Rigidity and Thermostability for Data-Driven Protein Engineering
- (2008) S. Radestock et al. ENGINEERING IN LIFE SCIENCES
- An expert system to predict protein thermostability using decision tree
- (2008) Li-Cheng Wu et al. EXPERT SYSTEMS WITH APPLICATIONS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started