Sentence examples for datasets for primary and from inspiring English sources

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Here, we describe a novel motif discovery algorithm lacking the above limitations, and demonstrate how to use it to mine ChIP-seq datasets for primary and cofactor motifs and for insights into cooperative or indirect binding by TFs.

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Clinical datasets for primary breast cancer patients who underwent sentinel lymph node biopsy or AxLN dissection without prior treatment were collected from three institutes (institute A, n = 148; institute B, n = 143; institute C, n = 174) and were used for variable selection, model training and external validation, respectively.

They include the linking of datasets from primary and secondary care to provide NHS and pharmaceutical professionals with more anonymised information about the journeys of patients through the care system and the outcomes of different treatments.

Multiple imputation data using least squares regression and 100 multiple datasets for the primary outcome produced an imputed estimate that was similar to the available data (PHQ-9 coefficient −1.31 (95% confidence interval −2.37 to −0.26), P=0.02).

We also observed such separations when array datasets for NCI60 and 9 primary tumor types were subjected to hierarchical clustering (data not shown).

This was undertaken for the present site by integrating existing secondary and new primary datasets for both N and P. Results showed that in the years pre-2000 slurry from an on-site integrated pig production unit had been applied at rates of 33 t ha−1 annually, which supplied approximately 136 kg ha−1 total N and approximately 26 kg ha−1 total P annually.

The coverage rate in the used dataset is 26.9% for primary care and 45.0% for outpatient care.

Sequence data have been deposited in the European Genome-phenome ArchivEGAEGA; https://www.ebi.ac.uk/ega/home ; study accession # EGAS00001000968; dataset accession numbers EGAD00001001014 for primary samples and EGAD00001001015 for metastatic samples).

Indeed, all three frequency distributions were significantly different from a normal distribution according to Shapiro Wilk test (P = 0.006, 0.021 and 0.022 for primary, secondary and tertiary dataset, respectively), indicating that the samples were substantially enriched for a particular target protein and the associated proteins identified were largely non-random.

To analyze the primary datasets for gene duplication and alternative splicing all non-perfectly matching EST sequences were removed from the EST assembly.

For an account of data utilised from different datasets for purposes of primary, secondary and sub- analyses, see Additional file 1: Figure S1.

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