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Found 4 papers, 3 papers with code
Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner
This study presents a framework termed Evolutionary Optimized Diverse Ensemble Learning (EODE) to improve ensemble learning for cancer classification from gene expression data.
A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection
We demonstrate the effectiveness of our algorithm on twelve large-scale datasets.
EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information
To address such a problem, we propose EGFI for extracting and consolidating drug interactions from large-scale medical literature text data.
Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization
In recent years, the advances in single-cell RNA-seq techniques have enabled us to perform large-scale transcriptomic profiling at single-cell resolution in a high-throughput manner.
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