Recursive Feature Elimination-based Biomarker Identification for Open Neural Tube Defects

Background: Open spina bifida (myelomeningocele) is the result of the failure of spinal cord closing completely and is the second most common and severe birth defect. Open neural tube defects are multifactorial, and the exact molecular mechanism of the pathogenesis is not clear due to disease comple...

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Veröffentlicht in:	Current genomics 2022-07, Vol.23 (3), p.195-206
Hauptverfasser:	Karthik, Kadhir Velu, Rajalingam, Aruna, Shivashankar, Mallaiah, Ganjiwale, Anjali
Format:	Artikel
Sprache:	eng
Schlagworte:	Amniotic fluid Artificial intelligence Biomarkers Birth defects CD44 antigen Central nervous system Classifiers Congenital defects Data analysis Datasets Decision trees Defects Diagnosis Gene expression Genes Genetics & Genomics Glial fibrillary acidic protein Health services Inflammation Learning algorithms Machine learning Neural tube defects Outliers (statistics) Pathogenesis Principal components analysis Protein folding Proteins Spina bifida Spinal cord Support vector machines Traumatic brain injury
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