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Object |
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Journal Article|Research Support, Non-U.S. Gov't |
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507 |
| issn |
1367-4803
1367-4811 |
| issueIdentifier |
4 |
| pageRange |
500-507 |
| publicationName |
Bioinformatics (Oxford, England) |
| startingPage |
500 |
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http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_147296aec85d8d7e30078b9b3e620688
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_caa89e25c1b647b214a98e5fb6fd3016 |
| bibliographicCitation |
Jiang W, Yu W. Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies. Bioinformatics. 2017 Feb 15;33(4):500–7. doi: 10.1093/bioinformatics/btw690. PMID: 28011772. |
| creator |
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http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_79cfb4a7b15d7fdb619d6ac40d23d642
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-6120-5278 |
| date |
2016-12-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://pubmed.ncbi.nlm.nih.gov/28011772
https://doi.org/10.1093/bioinformatics/btw690 |
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https://portal.issn.org/resource/ISSN/1367-4811
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/20940
https://portal.issn.org/resource/ISSN/1367-4803 |
| language |
English |
| source |
https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/ |
| title |
Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies |
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http://id.nlm.nih.gov/mesh/D030342Q000235
http://id.nlm.nih.gov/mesh/D055106Q000379
http://id.nlm.nih.gov/mesh/D014644
http://id.nlm.nih.gov/mesh/D012984 |
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http://id.nlm.nih.gov/mesh/D010641
http://id.nlm.nih.gov/mesh/D006801 |