RiboNucleic Acid (RNA) Language Model
🤖 Open‑source deep-learning-based splice‑site predictor that decodes splicing patterns across species
structRFM: A fully open structure-guided RNA foundation model for robust structural and functional inference
A robust method integrating N-gram encoding and ensemble modeling for enhanced splice site prediction accuracy.
45k context transformer for splice site prediction implemented with PyTorch.
Context-aware novel isoform discovery through multimodal evidence fusion and agentic AI validation for precision medicine
AI-powered toolkit for fiber optic testing, OTDR trace analysis, fault localization, splice loss evaluation, and automated reporting. Includes Python utilities, sample datasets, telecommunications engineering documentation, and machine learning concepts for fiber network troubleshooting.
DRANetSplicer: A splice site prediction model based on deep residual attention networks
A statistical machine learning study for classifying E. coli DNA sequences into exon-intron, intron-exon, and non-spliced regions. The project covers categorical DNA encoding, dimensionality reduction, cross-validation, and comparative evaluation of Naive Bayes, KNN, logistic regression, decision trees, random forests, and neural networks in R.
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