Systematic Evaluation of Feature Representations for Cancer-Associated sORF Prediction in Non-coding RNA
Fabiana Rodrigues de Góes, Makanaka Mazheke, Amanda Piveta Schnepper…·Alexandre Rossi Paschoal
The paper evaluates feature representations for predicting cancer-associated sORFs in non-coding RNA using traditional machine learning models and finds that k-mer features outperform genomic language model embeddings.