Sentence examples for merge data sets from inspiring English sources
"This means making it easy for the people to upload, to merge data sets, to discuss the data, to create visualizations and then to take these visualizations and put them elsewhere on the Web".
To merge data sets from three different laboratories that had used different SNP calling methods, we developed a Python script to facilitate detection, reorientation and merging of the data such that all SNPs are called relative to the design strand (the script is available upon request to J. Blanca).
In this test, merging data sets improved overall survival prediction and risk association.
We use survival prediction based on Cox regression as an assay to measure the added value of merged data sets.
In this work, we analyzed the potential benefits of merging data sets for prognostic application in breast cancer diagnosis.
The survival prediction accuracy and prognosis of clinical risk were neither increased nor decreased significantly by merging data sets.
Taken all these together, however, the improvement seen with selectively merged data sets is relatively modest as compared to the prognostic power generated from the merged data sets composed of all OS single data sets.
(4) The merged data sets' hypervariable regions were then hand curated using splicer, a tool we developed and made available on the Web as part of our pipeline TORNADO at http://tornado.igb.uiuc.edu/.igb.uiuc.edu/
A partial improvement of the association of the 100-gene signatures with OS (measured by HR) by merging data sets can also be observed in Table S1 and Table S2.
Moreover, merging data sets from different studies helps to better understand the biases of individual studies and can lead to the identification of strong survival factors like CYB5D1 expression.
As Table 5 and Table 6 show, merging data sets improves the association of the gene signatures with OS compared to only one data set (out of three) and increases the HR of the gene signatures with respect to RFS for four out of five data sets.
