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To characterize all genes assigned into one of the nine categories, we apply three assignment rules: maximum probability, maximum probability over 0.6 and maximum probability over 0.7.
(OHT v.s. WT) Three values in each cell present the number of genes belonging to each category using three different assignment rules: maximum probability, maximum probability over 0.6, and maximum probability over 0.7.
The gene lists obtained from using three different cutoff values are given in Additional file 3. Three values in each cell present the number of genes belonging to each category using three different assignment rules: maximum probability, maximum probability over 0.6, and maximum probability over 0.7.
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The F0.5 layer has a June (northern summer) solsticial maximum probability of occurrence with secondary maxima during December (northern winter) solstice.
For simplicity, the overload ability can be represented by an overload factor ( k_{text{T}} ) which is the ratio of ( S_{text{T}} ) corresponding to the national standard (95%% maximum probability value or maximum value) to the TT rated capacity.
Step 1: Obtain the traction substation load process data ( s_{text{L}} (t) ) through a power supply calculation method and then find the load power s from the national standard [11] (95%% maximum probability value or maximum value).
The normalization condition is satisfied within [s, +∞). This function can be approximated by a negative power law (tail) with an exponent of -ρ-1 for large size events and an exponential function for small size events separated by a maximum (rollover). With the maximum probability density, we have the rollover at area value: {R}_{mathrm{ig}}^A=frac{a}{rho +1}+s (5).
You need both for the maximum probability of success in building The Next Big Thing.
Delivery probability - maximum probability to deliver the message successfully.
The maximum candidate probability reflects the maximum probability of BSI for an individual record, and so the prior was derived as: VOI = 0, with 1 ‒ P max candidate probabilities 1, with P max candidate probabilities A likelihood for the VOI was derived from the distribution of the VOI in unequivocally linked records, conditional on predictor variables in the admissions file.
The resulting SSU rDNA sequences were used for phylogenetic analyses using complex evolutionary models (posterior probability, maximum likelihood, neighbor joining, and maximum parsimony methods).
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CEO of Professional Science Editing for Scientists @ prosciediting.com