Sentence examples for by dataset type from inspiring English sources

Exact(1)

Features in this version will include an extensive search interface allowing users to choose datasets and/or files for download/export by dataset type, file format, sample, species, DOI, external accession etc.

Similar(59)

a) 334,923 Single Nucleotide Polymorphism (SNPs) from the International Multiple Sclerosis Genetics Consortium IMSGCC) dataset, typed by Affymetrix 500K GeneChip in 931 European and European American couples (1862 individuals).

This dataset is available on dbGAP (phs000139.v1.p1) [ 37]. b) 1,536 SNPs in the extended MHC region from the International MHC and Autoimmunity Genetics Network IMAGENN) [ 39] dataset, typed by lllumina chip in 920 of 930 IMSGC couples.

One of the dataset types offered by HDF5 is a one-dimensional array of bytes, which is exactly the data model for files in today's operating systems.

Analysis was broken down by dataset and outbreak type (Table A1 and Table A2).

Since the 10 simulated outbreaks were randomly generated by using consistent rates, the sensitivity, specificity, and time to detection could be stratified by dataset and outbreak type.

Given the different nature and frequency of the two types of events, we disaggregated the dataset by type of contacts and analyzed the two sets separately.

By choosing these three groups there was a variety in our dataset by type of disease (relative acute to chronic) and treatments (surgical, pharmaceutical and conservative).

If we break down this dataset by cancer type, the numbers are not large enough to provide statistical confidence (Additional file 1: Figure S4).

Bimodality within 40% of human-mouse orthologs can be viewed as substantial overlap when considering that besides measurement noise and slightly different tissue types represented by datasets for each organism, differences exist in transcript sequences and transcript regions targeted by the microarray probes for orthologous genes among the two species.

Readers will observe how easy it is to load any dataset by simply typing the following one-line R code: >source(" http://canisius.edu/~yany/ff.R ").edu/~yany/ff.R

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