awgldk
/
wikidata
/
Login
Register
TriplyDB
Wikidata
Browser
Triples
Insights
Schema
BETA
Class frequency
Class hierarchy
SPARQL
Graphs
1
Q58761026-0BC5DBFE-0AA4-48BE-BFF9-C68E9E16E1ED
Q58761026-0BC5DBFE-0AA4-48BE-BFF9-C68E9E16E1ED
BestRank
Statement
http://www.wikidata.org/entity/statement/Q58761026-0BC5DBFE-0AA4-48BE-BFF9-C68E9E16E1ED
Could miRNA Signatures be Useful for Predicting Uterine Sarcoma and Carcinosarcoma Prognosis and Treatment?
P2860
Q58761026-0BC5DBFE-0AA4-48BE-BFF9-C68E9E16E1ED
BestRank
Statement
http://www.wikidata.org/entity/statement/Q58761026-0BC5DBFE-0AA4-48BE-BFF9-C68E9E16E1ED
rank
NormalRank
type
BestRank
Statement
wasDerivedFrom
815e651e41697d8f96624096f8fac60c9c931c76
P2860
Characterization of the uterine leiomyoma microRNAome by deep sequencing.