MLe-KCNQ2: An Artificial Intelligence Model for the Prognosis of Missense IKCNQ2/I Gene Variants
MLe-KCNQ2: An Artificial Intelligence Model for the Prognosis of Missense IKCNQ2/I Gene Variants
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Full title
MLe-KCNQ2: An Artificial Intelligence Model for the Prognosis of Missense IKCNQ2/I Gene Variants
Author / Creator
Publisher
MDPI AG
Journal title
International journal of molecular sciences, 2024-03, Vol.25 (5)
Language
English
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Publication information
Publisher
MDPI AG
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Scope and Contents
Contents
Despite the increasing availability of genomic data and enhanced data analysis procedures, predicting the severity of associated diseases remains elusive in the absence of clinical descriptors. To address this challenge, we have focused on the K[sub.V]7.2 voltage-gated potassium channel gene (KCNQ2), known for its link to developmental delays and v...
Alternative Titles
Full title
MLe-KCNQ2: An Artificial Intelligence Model for the Prognosis of Missense IKCNQ2/I Gene Variants
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Primary Identifiers
Record Identifier
TN_cdi_gale_infotracmisc_A786437127
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracmisc_A786437127
Other Identifiers
ISSN
1422-0067
DOI
10.3390/ijms25052910
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