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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
:
雜誌貢獻
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10
引文 斯高帕斯（Scopus）
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Mathematics
Peptides
100%
Prediction
56%
Antibiotics
34%
Training
24%
Benchmark
22%
Wound Healing
18%
Apoptosis
17%
Resist
16%
Feature Selection
15%
Amino Acids
15%
Microorganisms
15%
Test Set
15%
Immune Response
15%
Prediction Model
15%
Receiver Operating Characteristic Curve
14%
Immunity
14%
Performance
13%
Learning Algorithm
13%
Cross-validation
13%
Regulator
13%
Machine Learning
12%
Community
11%
Experimental Results
11%
Independent Set
11%
Background
10%
Evaluate
9%
Line
7%
Model
7%
Alternatives
7%
Range of data
7%
Medicine & Life Sciences
Computer Simulation
66%
Datasets
46%
Peptides
45%
Benchmarking
25%
Oligopeptides
16%
Anti-Bacterial Agents
15%
Machine Learning
13%
Innate Immunity
10%
Wound Healing
10%
ROC Curve
10%
Amino Acids
8%
Apoptosis
7%
Engineering & Materials Science
Peptides
92%
Chemical analysis
45%
Antibiotics
33%
Oligopeptides
22%
Cell death
17%
Microorganisms
14%
Amino acids
14%
Learning algorithms
9%
Feature extraction
9%
Machine learning
8%
Chemical Compounds
Polypeptide Antibiotic Agent
77%
Antimicrobial Agent
29%
Oligopeptide
16%
Amino-Acid Residue
12%
Peptide
8%