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We obtain an approximate measure of this probability for single genome studies, and present four applications of it to hypothetical metagenome sequencing studies of increasing difficulty.
Sahana et al. [ 23] compared the marginal posterior probability for single markers (BAYSM) and the joint posterior probabilities for intervals of 11 markers (BAYINT) to infer the presence of QTL using a BVS model based on simulated data.
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The probability for single-recombination events was estimated to be 4/ 820 × 10) ≈ 0.0005.
To distinguish between these two scenarios, we turned to the posterior probabilities for single cells, i.e., the probabilities of a cell to belong to each of the patterns (Fig. 4b, c, Supplementary Note 5).
Here, MCMC simulations are applied in order to calculate posterior probabilities for single gene-gene interactions (see Methods).
(B ) Event probabilities for single (opaque colors) and double (translucent colors) Coh Doc rupture peaks determined for Doc wild-type and DE/AA quadruple mutants.
The β scale is the probability scale for single item analysis and the expected score scale for bundle analysis.
The heralding efficiency, that is, the probability for a single photon impinging on the cornea provided its partner is detected by the EMCCD, of the SPDC source in combination with the EMCCD detection was estimated at ∼20%.
Our approach starts with the derivation of the passage probability for a single particle that diffuses between a stochastically gated boundary, which models the opening and closing spiracle, and the perfectly absorbing boundary, which models oxygen absorption by the tissue.
Here P1(b) is a marginal probability for a single fixed symbol to have tally b.
Algorithms such as K R [2, 3] provide a valid method for obtaining multiservice blocking probability for a single resource.
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