An Ensemble-Based Phenotype Classifier to Diagnose Crohn's Disease from 16s rRNA Gene Sequences.
Lara Vázquez-GonzálezCarlos Andrés Peña-ReyesCarlos Balsa-CastroInmaculada TomásMaría J. CarreiraPublished in: IbPRIA (2023)
Keyphrases
- gene expression
- ensemble learning
- multiple classifiers
- classifier ensemble
- ensemble classifier
- final classification
- sequence alignment
- training data
- biologically meaningful
- disease genes
- training set
- single nucleotide polymorphisms
- feature selection
- microarray
- individual classifiers
- learning algorithm
- candidate genes
- decision tree classifiers
- related genes
- feature space
- ensemble methods
- majority voting
- gene function
- combining classifiers
- gene expression data
- gene sets
- pruning algorithm
- medical doctors
- complex diseases
- biological knowledge
- early diagnosis
- multiple classifier systems
- classifier combination
- biological entities
- weak learners
- genomic sequences
- biological networks
- genome wide
- high throughput
- random forest
- molecular level
- weak classifiers
- secondary structure
- gene ontology
- biomedical literature
- support vector machine
- classification algorithm
- feature ranking
- training samples
- breast cancer
- decision trees
- ensemble members
- genome wide association studies
- gene selection
- linkage disequilibrium
- neural network
- svm classifier