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1 s with experimentally obtained compositional analysis data.
2 Bipolar Disorder Working Group (PGC-BD) meta-analysis data.
3 duction have been well documented with semen analysis data.
4 ase, which is consistent with metabolic flux analysis data.
5 irmed by transcriptional fusion and Northern analysis data.
6 ESI FT-ICR mass spectrometry, and elemental analysis data.
7 consideration when interpreting segregation analysis data.
11 of overlapped HPLC-DAD peaks, flow injection analysis data, and batch reaction data measured by UV/vi
12 genes have been evaluated based on the meta-analysis data, and the results show that high-confidence
16 ne expression profiles, genome-wide location analysis data, binding sequence data, and gene ontology
22 ly, to integrate experimental details, image analysis, data display, and data archiving, we developed
23 rs and erasers, we provided further ChIP-Seq analysis data for the targeted HMs and schematized the r
30 uced amino acid sequence to peptide sequence analysis data from purified acetyl xylan esterase 1.
33 ibuted clusters were excluded from the final analysis; data from 1849 households that contained 12 80
41 with DIAbetes Genetics Replication And Meta-analysis data involving a total of 10,088 diabetes case
44 , research on the three primary types of job analysis data, namely work activities, worker attributes
45 istinct sequence conservation and mutational analysis data observed for the stem region of the hairpi
46 icacy of Deflux is not well defined and cost-analysis data of patients managed in a prospective rando
54 en 2007- 2011, and compare these to three re-analysis data sets and to simulations with a state-of-th
59 ing in its wake a demand for courses in data analysis, data stewardship, computing fundamentals, etc.
62 fluorescence, and limited trypsin digestion analysis data suggest that suramin-induced oligomerizati
63 studies using previously reported GWAS meta-analysis data suggest that the regions identified on chr
66 AS NMR, (51)V MAS NMR, and thermogravimetric analysis data, the coordination of water sites has been
67 (e.g. ESTs) or experimental (e.g. expression analysis) data they need to be validated by other method
68 was applied to the instrumental and sensory analysis data to visualize differences between the sampl
69 onductor facilities for advanced statistical analysis, data transformation, visualization and integra
70 ditional facilities for advanced statistical analysis, data transformation, visualization and integra
71 ped) with the recently published PGC-BD meta-analysis data, using either the PGC-BD combined discover
73 oportional hazards model, fitted to the meta-analysis data, was used to construct the expected surviv
78 ing, and Participants: For this bibliometric analysis, data were abstracted from 1303 original peer-r
82 T infarct volume correlated with ex vivo TTC analysis data (y = 1.01x + 0.00, R = 0.98, standard erro
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