awgldk
/
wikidata
/
Login
Register
TriplyDB
Wikidata
Browser
Table
SPARQL
Graphs
1
1
Services
1
1
Assets
0
0
Insights
Schema
BETA
Class frequency
Class hierarchy
Q34128959-0B9D9ED7-89F3-4827-AE23-FBB41720F8A6
Q34128959-0B9D9ED7-89F3-4827-AE23-FBB41720F8A6
BestRank
Statement
http://www.wikidata.org/entity/statement/Q34128959-0B9D9ED7-89F3-4827-AE23-FBB41720F8A6
Predicting low dose effects for chemicals in high through-put studies.
P2860
Q34128959-0B9D9ED7-89F3-4827-AE23-FBB41720F8A6
BestRank
Statement
http://www.wikidata.org/entity/statement/Q34128959-0B9D9ED7-89F3-4827-AE23-FBB41720F8A6
rank
NormalRank
type
BestRank
Statement
wasDerivedFrom
1aa9aa43a7c16797024b0bb87bdc8ceb9345ac34
P2860
Why not routinely use best linear unbiased predictors (BLUPs) as estimates of cholesterol, per cent fat from kcal and physical activity?