activity
20162022
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations · 1.1k across the 13 of their papers we have counts for

collaborators

13 papers

q-bio.QM2022

Using genome-wide expression compendia to study microorganisms

Alexandra J. Lee, Taylor Reiter, Georgia Doing +3

A gene expression compendium is a heterogeneous collection of gene expression experiments assembled from data collected for diverse purposes. The widely varied experimental conditi…

q-bio.OT2021★ 8 cited

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders +53

Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in d…

cs.DL2021★ 1 cited

An Open-Publishing Response to the COVID-19 Infodemic

Halie M. Rando, Simina M. Boca, Lucy D'Agostino McGowan +7

The COVID-19 pandemic catalyzed the rapid dissemination of papers and preprints investigating the disease and its associated virus, SARS-CoV-2. The multifaceted nature of COVID-19…

cs.DS2021★ 3 cited

Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition

Madison Cooley, Casey S. Greene, Davis Issac +2

We present a new combinatorial model for identifying regulatory modules in gene co-expression data using a decomposition into weighted cliques. To capture complex interaction effec…

q-bio.OT2021★ 47 cited

Ten Quick Tips for Deep Learning in Biology

Benjamin D. Lee, Anthony Gitter, Casey S. Greene +17

Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that…

q-bio.OT2021★ 1 cited

A field guide to cultivating computational biology

Anne E Carpenter, Casey S Greene, Piero Carnici +11

Biomedical research centers can empower basic discovery and novel therapeutic strategies by leveraging their large-scale datasets from experiments and patients. This data, together…