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Co-AMPpred for in silico-aided predictions of antimicrobial peptides by integrating composition-based features
Onkar Singh, Wen Lian Hsu,
Emily Chia Yu Su
醫學資訊研究所
臺北醫學大學附設醫院
研究成果
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雜誌貢獻
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引文 斯高帕斯（Scopus）
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Mathematics
Alternatives
7%
Amino Acids
15%
Antibiotics
34%
Apoptosis
17%
Background
10%
Benchmark
22%
Community
11%
Cross-validation
13%
Evaluate
9%
Experimental Results
11%
Feature Selection
15%
Immune Response
15%
Immunity
14%
Independent Set
11%
Learning Algorithm
13%
Line
7%
Machine Learning
12%
Microorganisms
15%
Model
7%
Peptides
100%
Performance
13%
Prediction
56%
Prediction Model
15%
Range of data
7%
Receiver Operating Characteristic Curve
14%
Regulator
13%
Resist
16%
Test Set
15%
Training
24%
Wound Healing
18%
Medicine & Life Sciences
Amino Acids
8%
Anti-Bacterial Agents
15%
Apoptosis
7%
Benchmarking
25%
Computer Simulation
66%
Datasets
46%
Innate Immunity
10%
Machine Learning
13%
Oligopeptides
16%
Peptides
45%
ROC Curve
10%
Wound Healing
10%
Engineering & Materials Science
Amino acids
14%
Antibiotics
33%
Cell death
17%
Chemical analysis
45%
Feature extraction
9%
Learning algorithms
9%
Machine learning
8%
Microorganisms
14%
Oligopeptides
22%
Peptides
92%
Chemical Compounds
Amino-Acid Residue
12%
Antimicrobial Agent
29%
Oligopeptide
16%
Peptide
8%
Polypeptide Antibiotic Agent
77%