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pro vyhledávání: '"Ohad Mosafi"'
MotivationMany computational methods aim to identify genetic variants associated with diseases and complex traits. Due to the absence of ground truth data, simulated genotype and phenotype data is needed to benchmark these methods. However, phenotype
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab84919e70a7a4d6b345dab3372a30a2
https://doi.org/10.1101/2021.08.04.455085
https://doi.org/10.1101/2021.08.04.455085
Publikováno v:
IJCNN
In recent work, attacks on automated classification of Parkinson’s disease have encountered difficulties, especially for cross-individual generalization. This is crucial since (i) Classifying the degree of Parkinson’s disease is an important clin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba07c631a68400b34bed515cf1aa561b
https://doi.org/10.1109/ijcnn.2019.8852088
https://doi.org/10.1109/ijcnn.2019.8852088
Publikováno v:
2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE).
Classifying the degree of Parkinson’s disease is an important clinical necessity. Nonetheless, current methodology requires manual (and subjective) evaluation by a trained clinical expert. Recently, Machine Learning tools have been developed that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0edb595a95045eac148c10884d24b4ff
https://doi.org/10.1109/icsee.2018.8646026
https://doi.org/10.1109/icsee.2018.8646026