Exact(10)
It is important to note that nearly half of active compounds in the DUD-E dataset (9332 out of 20,402) would not pass this filter with the default cutoffs.
We optimize the widths (the start and end positions) of peaks that pass this filter by maximizing the objective function below.
213 SNPs did not pass this filter.
Approximately, 70%to95%5% of reads pass this filter.
845 SNPs pass this filter based on the single-locus data.
Labs with replicates that had a total score of less than 4 did not pass this filter.
Similar(50)
Candidates that pass this filtering step are verified against the genome to count the number of mismatches in the long part of the read.
Among the variables that did not pass this filtering process the Acute Physiological score points component of the APACHE II score is noteworthy.
All gene predictions that pass this filtering step are output, producing sequence files (in fasta format) and gene coordinate files [in General Feature Format (GFF), see http://www.sanger.ac.uk/resources/software/gff/spec.html].
Multiple test correction was performed using the Benjamini & Hochberg False Discovery Rate (FDR) procedure with an FDR corrected p-value cut-off set at ≤ 0.05, therefore 5% of genes could be expected to pass this filtering step by chance and represent potential false positives (77 genes).
For each tweet passing this filter we tentatively issue a forecast for the mentioned date.
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