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HSAELDA: Predicting lncRNA-disease associations based on he..:
, In:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Xi, Wen-Yu
;
Ren, Qian-Qian
;
Liu, Jin-Xing
. - p. 607-612 , 2022
Link:
https://doi.org/10.1109/BIBM55620.2022.9995275
RT T1 <cTitle>2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9995275&Exemplar=1&LAN=DE A1 Xi, Wen-Yu A1 Ren, Qian-Qian A1 Liu, Jin-Xing A1 Gao, Ying-Lian YR 2022 K1 Training K1 Correlation K1 Computational modeling K1 Biological system modeling K1 Predictive models K1 Feature extraction K1 Heterogeneous networks K1 deep stacked autoencoder K1 disease K1 lncRNA K1 lncRNA-disease association K1 LightGBM classifier SP 607 OP 612 LK http://dx.doi.org/https://doi.org/10.1109/BIBM55620.2022.9995275 DO https://doi.org/10.1109/BIBM55620.2022.9995275 SF ELIB - SuUB Bremen
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