Fast and accurate semantic annotation of bioassays exploiting a hybrid of machine learning and user confirmation.
about
Reporting biological assay screening results for maximum impactMachines first, humans second: on the importance of algorithmic interpretation of open chemistry dataParallel worlds of public and commercial bioactive chemistry dataUsing the BioAssay Ontology for analyzing high-throughput screening data.Challenges of Connecting Chemistry to Pharmacology: Perspectives from Curating the IUPHAR/BPS Guide to PHARMACOLOGYBioAssay Templates for the semantic web
P2860
Fast and accurate semantic annotation of bioassays exploiting a hybrid of machine learning and user confirmation.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Fast and accurate semantic ann ...... earning and user confirmation.
@en
type
label
Fast and accurate semantic ann ...... earning and user confirmation.
@en
prefLabel
Fast and accurate semantic ann ...... earning and user confirmation.
@en
P2093
P2860
P356
P1433
P1476
Fast and accurate semantic ann ...... earning and user confirmation.
@en
P2093
Barry A Bunin
Nadia K Litterman
Stephan C Schürer
Ubbo Visser
P2860
P356
10.7717/PEERJ.524
P50
P577
2014-08-14T00:00:00Z