Deep-Learning Uncovers certain CCM Isoforms as Transcription Factors

Deep-Learning Uncovers certain CCM Isoforms as Transcription Factors

Background: Cerebral Cavernous Malformations (CCMs) are brain vascular abnormalities associated with an increased risk of hemorrhagic strokes. Familial CCMs result from autosomal dominant inheritance involving three genes: KRIT1 (CCM1), MGC4607 (CCM2), and PDCD10 (CCM3). CCM1 and CCM3 form the CCM S...

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Bibliographic Details
Main Authors: Jacob Croft, Liyuan Gao, Victor Sheng, Jun Zhang
Format: Article
Language:English
Published: IMR Press 2024-02-01
Series:Frontiers in Bioscience-Landmark
Subjects:
cerebral cavernous malformations
ccm2 isoforms
transcription factors
deep-learning
evolutionary scale modeling
large language model
support vector machine
biased svm model
Online Access:https://www.imrpress.com/journal/FBL/29/2/10.31083/j.fbl2902075

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https://www.imrpress.com/journal/FBL/29/2/10.31083/j.fbl2902075

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