DOE OSTI · 2999355
Mixed CNN-Attention machine learning model for predicting gene regulatory relationships across fungal species As a computational method Towards defending against emerging pathogenic fungi
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Weinstock, Laura Delaney [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)], Schambach, Jenna Young [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0009000564948444), Fisher, Anna Lorraine [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)] (ORCID:0000000346006064), Kunstadt, Cameron Grey [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)], Koning, Elizabeth Ruth [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)], Mays, Wittney DeBora [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Krishnakumar, Raga [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)] (ORCID:000000022479754X). 2024-12-01. Mixed CNN-Attention machine learning model for predicting gene regulatory relationships across fungal species As a computational method Towards defending against emerging pathogenic fungi. https://doi.org/10.2172/2999355
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