Predicting pathogenicity of variants in the cardiac thin filament using neural networks

Allison B. Mason; Jil C. Tardiff; Steven D Schwartz

doi:10.1016/j.bpj.2022.11.904

Predicting pathogenicity of variants in the cardiac thin filament using neural networks

Allison B. Mason, Jil C. Tardiff, Steven D Schwartz

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Pages (from-to)	137a
Journal	Biophysical Journal
Volume	122
Issue number	3S1
DOIs	https://doi.org/10.1016/j.bpj.2022.11.904
State	Published - Feb 10 2023

ASJC Scopus subject areas

Biophysics

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10.1016/j.bpj.2022.11.904

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title = "Predicting pathogenicity of variants in the cardiac thin filament using neural networks",

author = "Mason, {Allison B.} and Tardiff, {Jil C.} and Schwartz, {Steven D}",

year = "2023",

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pages = "137a",

journal = "Biophysical Journal",

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publisher = "Biophysical Society",

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AU - Tardiff, Jil C.

AU - Schwartz, Steven D

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SP - 137a

JO - Biophysical Journal

JF - Biophysical Journal

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Predicting pathogenicity of variants in the cardiac thin filament using neural networks

ASJC Scopus subject areas

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