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Exact(10)
The sum of two random effects a g and b pg describes the total effect of the siRNAs within pathogen p. We define the estimated effect c pg for gene g within pathogen p as A positive estimated c pg effect means that the infection level was enhanced if the corresponding gene g is knocked down.
Most of these programmes had positive estimated impacts that faded over time.
Patients with a positive estimated coefficient for LBM in the fitted regression model to the repeated observations over 1 year were classified as responders and patients with neutral or negative coefficient were considered as non-responders.
However, we observed a key influence of the ribosome occupancy on protein levels, with a positive estimated coefficient of 0.23.
Ultimately, Tcas5.2 had a higher N50 than the automated Stitch output, 4.46 Mb (Table 2), with 66 gaps with positive estimated lengths and 24 negative length gaps.
The second most influential factor was CAI, which had positive estimated coefficients of between 0.13 and 0.25 (P-value < 10−14).
Similar(50)
This matrix consists of two rows and two columns that report the number of true negatives, false positives, false negatives, and true positives estimated by the model comparing with the previous probabilities of the validation data.
Protein hits were filtered at the peptide level to contain less than 0.22% false positives, estimated by the number of decoy hits using in-house software and filtering based on dCn, XCorr, ppm, charge state and peptides per protein.
The present analysis predicts 71 new Arabidopsis miRNA genes with very few false positives (estimated specificity is 100%) and over five hundred with an estimate of 9% false predictions.
We define here discrimination as the difference between the fraction of true positives (estimated by the fraction of the test-foreign set predicted to be foreign at a given threshold) minus the fraction of false-positives (estimated by the fraction of the test-native set predicted to be foreign at the same threshold).
Chlamydia and gonorrhea positivity (the proportion of men tested who were positive) estimates and 95% confidence intervals were calculated using exact methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com