Towards Learning the Positive Real Discriminant of the Wnt Signaling Pathway Shuttle Model

We use machine learning to approximate the space of steady states in the shuttle model for the Wnt Signaling Pathway. In this ongoing work, we combine these methods with computational algebra to investigate a question by Gross, Harrington, Rosen, and Sturmfels.

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Publication Details

Journal
ACM communications in computer algebra
Published
2024-09-01
DOI
https://doi.org/10.1145/3717582.3717590
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards Learning the Positive Real Discriminant of the Wnt Signaling Pathway Shuttle Model

Jose Israel Rodriguez, Aviva K. Englander
ACM communications in computer algebra
Machine Learning in Bioinformatics
article

Towards Learning the Positive Real Discriminant of the Wnt Signaling Pathway Shuttle Model

Jose Israel Rodriguez, Aviva K. Englander
article en

Abstract

We use machine learning to approximate the space of steady states in the shuttle model for the Wnt Signaling Pathway. In this ongoing work, we combine these methods with computational algebra to investigate a question by Gross, Harrington, Rosen, and Sturmfels.

ACM communications in computer algebraVol. 58(3)
University of Wisconsin–Madison (US)
Openalex Percentile: Top 78%
Machine Learning in Bioinformatics
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