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Genes identified using the CanSAR software.
Potential source papers were identified using the Web of Science.
Differentially expressed genes were identified using the edgeR R package.
Outliers were identified using the ROUT method, Q = 1%.
kernel users were identified using the trustrank api from Infochimps.
This patient was identified using the Learns tool, then diagnosed and successfully treated.
The somatic single-nucleotide variants in targeted exons were identified using the MuTect algorithm.
Genes discriminatory for bacterial infection were identified using the Bonferroni-corrected Wilcoxon test.
Functions of the proteins were identified using the National Center for Biotechnology Information and UniProtKB databases.
Significant peaks were then identified using the Zero Inflated Negative Binomial Algorithm (ZINBA)56.
(c) The 11-gene module was identified using the Clique Percolation Method (k = 5).
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CEO of Professional Science Editing for Scientists @ prosciediting.com