Titlebook: Data Integration in the Life Sciences; 13th International C S?ren Auer,Maria-Esther Vidal Conference proceedings 2019 Springer Nature Switz

Retina

書目名稱Data Integration in the Life Sciences影響因子(影響力)




書目名稱Data Integration in the Life Sciences影響因子(影響力)學科排名




書目名稱Data Integration in the Life Sciences網(wǎng)絡(luò)公開度




書目名稱Data Integration in the Life Sciences網(wǎng)絡(luò)公開度學科排名




書目名稱Data Integration in the Life Sciences被引頻次




書目名稱Data Integration in the Life Sciences被引頻次學科排名




書目名稱Data Integration in the Life Sciences年度引用




書目名稱Data Integration in the Life Sciences年度引用學科排名




書目名稱Data Integration in the Life Sciences讀者反饋




書目名稱Data Integration in the Life Sciences讀者反饋學科排名

外向者

Yueyu Dong,Fei Dai,Mingming Qinof the annotation process, we propose the use of machine learning to combine the results of different annotation tools. We comparatively evaluate the results of the machine-learning based approach with the results of the single tools and a simpler set-based result combination.

CLOT

缺陷

https://doi.org/10.1007/978-3-030-06016-9artificial intelligence; computational linguistics; data integration; databases; information management;

Dri727

978-3-030-06015-2Springer Nature Switzerland AG 2019

潛移默化

A Learning-Based Approach to Combine Medical Annotation Resultsof the annotation process, we propose the use of machine learning to combine the results of different annotation tools. We comparatively evaluate the results of the machine-learning based approach with the results of the single tools and a simpler set-based result combination.

潛移默化

pus840

執(zhí)拗

Fei Xu,Fangming Liu,Dekang Zhu,Hai Jin genomic components can often be modeled and visualized in graph structures. In this paper we propose the integration of several data sets into a graph database. We study the aptness of the database system in terms of analysis and visualization of a genome regulatory network (GRN) by running a bench

Dendritic-Cells