8 citations · 19 across the 5 of their papers we have counts for
5 papers
BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases
Mathew J. Koretsky, Maya Willey, Owen Bianchi +7
Biomedical researchers increasingly rely on large-scale structured databases for complex analytical tasks. However, current text-to-SQL systems often struggle to map qualitative sc…
Hidden in the Haystack: Smaller Needles are More Difficult for LLMs to Find
Owen Bianchi, Mathew J. Koretsky, Maya Willey +7
Large language models (LLMs) face significant challenges with needle-in-ahaystack tasks, where relevant information ("the needle") must be drawn from a large pool of irrelevant con…
GenoML: Automated Machine Learning for Genomics
Mary B. Makarious, Hampton L. Leonard, Dan Vitale +14
GenoML is a Python package automating machine learning workflows for genomics (genetics and multi-omics) with an open science philosophy. Genomics data require significant domain e…
Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data
Vipul Satone, Rachneet Kaur, Faraz Faghri +3
Alzheimer's disease (AD) is a degenerative brain disease impairing a person's ability to perform day to day activities. The clinical manifestations of Alzheimer's disease are chara…
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case
Faraz Faghri, Sayed Hadi Hashemi, Mohammad Babaeizadeh +3
In an effort to overcome the data deluge in computational biology and bioinformatics and to facilitate bioinformatics research in the era of big data, we identify some of the most…