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Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|July 1, 2021
Green Algorithms: Quantifying the Carbon Footprint of ComputationLoïc Lannelongue, Jason Grealey, Michael Inouye
Molecular Biology and Evolution|February 10, 2022
The Carbon Footprint of BioinformaticsJason Grealey, Loïc Lannelongue, Woei-Yuh Saw, et al.
Bioinformatics (Oxford, England)|January 10, 2024
Pitfalls of machine learning models for protein-protein interaction networksLoïc Lannelongue, Michael Inouye
Cold Spring Harbor Perspectives in Biology|December 1, 2023
Environmental Impacts of Machine Learning Applications in Protein ScienceLoïc Lannelongue, Michael Inouye
Annual Review of Biomedical Data Science|April 28, 2026
The Case for Greener Biomedical Data Science and How to Get ThereGabrielle Samuel, Loïc Lannelongue
Environmental Research Communications|November 29, 2023
How to estimate carbon footprint when training deep learning models? A guide and reviewLucía Bouza, Aurélie Bugeau, Loïc Lannelongue
Nature Computational Science|January 4, 2024
GREENER principles for environmentally sustainable computational scienceLoïc Lannelongue, Hans-Erik G Aronson, Alex Bateman, et al.
Plos One|April 11, 2014
Fast principal component analysis of large-scale genome-wide dataGad Abraham, Michael Inouye
Current Opinion in Genetics & Development|July 27, 2015
Genomic risk prediction of complex human disease and its clinical applicationGad Abraham, Michael Inouye
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