Work

MAPLE v.1.0

Year: 2024

Type: article

Abstract: SAND2025-00659O MAPLE is a software tool that uses epigenomic data to predict gene expression. MAPLE uses a set of epigenomic modifications to determine the effect on gene expression in a specific subset of species. The algorithm can be trained on additional species and epigenomic modifications, enhancing its predictive capabilities. EAGLE employs a hybrid neural network architecture, featuring a convolutional front-end and a multi-head attention layer, to process pre-processed signal data as input. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525.

Source: OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

DOI: 10.11578/dc.20250227.2

Authors: Davis IV, Warren, Morrell, William, Krishnakumar, Raga, Kunstadt, Cameron, Fisher, Anna, Mays, Wittney, Weinstock, Laura, Schambach, Jenna, Lee, Ethan, Koning, Elizabeth

Institutions: Sandia National Laboratories California, Sandia National Laboratories

Language: English

Topic: Genomics and Chromatin Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4415095257

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