Familial or Sporadic Idiopathic Scoliosis – classification based on artificial neural network and GAPDH and ACTB transcription profile

Background Importance of hereditary factors in the etiology of Idiopathic Scoliosis is widely accepted. In clinical practice some of the IS patients present with positive familial history of the deformity and some do not. Traditionally about 90% of patients have been considered as sporadic cases wit...

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Veröffentlicht in:	Biomedical engineering online Jg. 12; H. 1; S. 1
Hauptverfasser:	Waller, Tomasz, Nowak, Roman, Tkacz, Magdalena, Zapart, Damian, Mazurek, Urszula
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 04.01.2013 BioMed Central Ltd Springer Nature B.V
Schlagworte:	Actins - genetics Analysis Biomaterials Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Biotechnology Classification Computer science Cytoskeleton Data mining Development and progression Engineering Enzymes Evaluation Studies as Topic Families & family life Female Genes, Essential Genetic aspects Genetic transcription Genetics Glyceraldehyde-3-Phosphate Dehydrogenases - genetics Humans Male Medical research Medicine, Experimental Muscle proteins Neural networks Neural Networks, Computer Phosphates Rankings Reverse Transcriptase Polymerase Chain Reaction RNA, Messenger - genetics Scoliosis Scoliosis - classification Scoliosis - diagnosis Scoliosis - genetics Studies Surgery Twins Artificial Neural Network Model Idiopathic Scoliosis Artificial Neural Network Mean Square Error Hide Layer
ISSN:	1475-925X, 1475-925X
Online-Zugang:	Volltext
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