scholarly article | Q13442814 |
P819 | ADS bibcode | 2014PLoSO...9k5221C |
P356 | DOI | 10.1371/JOURNAL.PONE.0115221 |
P932 | PMC publication ID | 4274077 |
P698 | PubMed publication ID | 25531985 |
P5875 | ResearchGate publication ID | 269933482 |
P2093 | author name string | Peng Xie | |
Liang Fang | |||
Hua Huang | |||
Peng He | |||
Peng Zheng | |||
Jing-jing Zhou | |||
Jian-jun Chen | |||
Li-bo Zhao | |||
De-yu Yang | |||
Yong-tao Yang | |||
De-zhi Zhou | |||
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Urinary metabolic phenotyping differentiates children with autism from their unaffected siblings and age-matched controls | Q43119044 | ||
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Metabonomic analysis identifies molecular changes associated with the pathophysiology and drug treatment of bipolar disorder | Q46767416 | ||
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Systems biology: Metabonomics | Q47647280 | ||
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P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 12 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | bipolar disorder | Q131755 |
biomarker | Q864574 | ||
P304 | page(s) | e115221 | |
P577 | publication date | 2014-12-22 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Sex-specific urinary biomarkers for diagnosing bipolar disorder | |
P478 | volume | 9 |
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Q37648213 | Identification of sex-specific urinary biomarkers for major depressive disorder by combined application of NMR- and GC-MS-based metabonomics |
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