4 citations · 6 across the 3 of their papers we have counts for
3 papers
q-bio.GN2023★ 2 cited
Using Guided Transfer Learning to Predispose AI Agent to Learn Efficiently from Small RNA-sequencing Datasets
Kevin Li, Danko Nikolić, Vjekoslav Nikolić +3
Given the increasing availability of RNA-seq data and its complex and heterogeneous nature, there has been growing interest in applying AI/machine learning methodologies to work wi…
q-bio.QM2023
Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice
Kevin Li, Riya Desai, Ryan T. Scott +8
The adverse effects of microgravity exposure on mammalian physiology during spaceflight necessitate a deep understanding of the underlying mechanisms to develop effective counterme…
q-bio.OT2021★ 4 cited
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
Lauren M. Sanders, Jason H. Yang, Ryan T. Scott +53
Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengin…