Vlastimil Martinek

Agentomics is an autonomous system that generates ML models for biomedical tasks, outperforming existing agentic systems and human-engineered models on 11/20 datasets.

The paper introduces RNAkinet, a deep learning model that uses nanopore sequencing to analyze RNA dynamics and cis-regulatory elements at single molecule resolution.

The paper introduces a collection of genomic sequence classification datasets and a baseline CNN model, distributed as a Python package to improve reproducibility in genomics machine learning.

This study evaluates Transformer models for genomic sequence classification, comparing pre-trained and from-scratch approaches on benchmark datasets.