文章名稱引用次數(shù)

• Predicting drug response of tumors from integrated genomic profiles by deep neural networks19
• Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients18
• Application of Neural Networks for classification of Patau, Edwards, Down, Turner and Klinefelter Syndrome based on first trimester maternal serum screening data, ultrasonographic findings and patient demographics16
• GENT2: an updated gene expression database for normal and tumor tissues15
• HLA and proteasome expression body map15
• Identification of glioblastomagene prognosis modules based on weighted gene co-expression network analysis13
• Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics13
• Identification of biomarkers for amyotrophic lateral sclerosis by comprehensive analysis of exosomal mRNAs in human cerebrospinal fluid13
• Whole exome sequencing in adult-onset hearing loss reveals a high load of predicted pathogenic variants in known deafness-associated genes and identifies new candidate genes12
• Logistic regression model training based on the approximate homomorphic encryption12