Machine Learning Model for Identifying Antioxidant Proteins Using Features Calculated from Primary Sequences
出版年份 2020 全文链接
标题
Machine Learning Model for Identifying Antioxidant Proteins Using Features Calculated from Primary Sequences
作者
关键词
-
出版物
Biology-Basel
Volume 9, Issue 10, Pages 325
出版商
MDPI AG
发表日期
2020-10-06
DOI
10.3390/biology9100325
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。- Using deep neural networks and biological subwords to detect protein S-sulfenylation sites
- (2020) Duyen Thi Do et al. BRIEFINGS IN BIOINFORMATICS
- Identifying Antioxidant Proteins by Combining Multiple Methods
- (2020) Xianhai Li et al. Frontiers in Bioengineering and Biotechnology
- XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma
- (2020) Nguyen Quoc Khanh Le et al. Journal of Personalized Medicine
- WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j
- (2019) Steven Lang et al. KNOWLEDGE-BASED SYSTEMS
- Prediction of antioxidant proteins by incorporating statistical moments based features into Chou's PseAAC
- (2019) Ahmad Hassan Butt et al. JOURNAL OF THEORETICAL BIOLOGY
- AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine
- (2019) Chaolu Meng et al. Frontiers in Bioengineering and Biotechnology
- Endogenous non-enzymatic antioxidants in the human body
- (2018) Iwona Mirończuk-Chodakowska et al. Advances in Medical Sciences
- iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
- (2018) Zhen Chen et al. BIOINFORMATICS
- SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins
- (2018) Lei Xu et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Oxidative Stress, Inflammation, and Vascular Aging in Hypertension
- (2017) Tomasz J. Guzik et al. HYPERTENSION
- Sequence Based Prediction of Antioxidant Proteins Using a Classifier Selection Strategy
- (2016) Lina Zhang et al. PLoS One
- Identifying Antioxidant Proteins by Using Optimal Dipeptide Compositions
- (2015) Pengmian Feng et al. Interdisciplinary Sciences-Computational Life Sciences
- Metabolic Syndrome, Aging and Involvement of Oxidative Stress
- (2015) Francesca Bonomini et al. Aging and Disease
- Oxidative Stress and Antioxidants in Disease and Cancer: A Review
- (2014) Rakesh Kumar Gupta et al. Asian Pacific Journal of Cancer Prevention
- Identification of Antioxidants from Sequence Information Using Naïve Bayes
- (2013) Peng-Mian Feng et al. Computational and Mathematical Methods in Medicine
- Oxidative stress, inflammation, and cancer: How are they linked?
- (2010) Simone Reuter et al. FREE RADICAL BIOLOGY AND MEDICINE
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 MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started