Machine Learning and Bioinformatics Framework Integration to Potential Familial DCM-Related Markers Discovery.
Concetta SchianoMonica FranzeseFilippo GeraciMario ZanfardinoCiro MaielloVittorio PalmieriAndrea SoricelliVincenzo GrimaldiEnrico CoscioniMarco SalvatoreClaudio NapoliPublished in: Genes (2021)
The use of the ML approach was useful to discover preliminary specific genes that could lead to a rapid selection of molecular targets correlated with DCM clinical parameters. For the first time, NEAT1 under-expression was significantly associated with LVEDD in the human heart.
Keyphrases
- machine learning
- endothelial cells
- poor prognosis
- small molecule
- heart failure
- genome wide
- high throughput
- pluripotent stem cells
- early onset
- atrial fibrillation
- binding protein
- human health
- single molecule
- risk assessment
- deep learning
- bioinformatics analysis
- loop mediated isothermal amplification
- dna methylation
- genome wide analysis
- drug induced