ライフサイエンスコーパス: multinomial distribution

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1 ribution associated with peak matches into a multinomial distribution.

2 ations to the pattern expected from a random multinomial distribution.

3 ations to the pattern expected from a random multinomial distribution.

4 The Dirichlet-multinomial distribution allows the analyst to calculate

5 hat K-means cluster sizes generally follow a multinomial distribution and the failure probability of

6 Ambiguous read mapping is modeled as a multinomial distribution, and ambiguous reads are assign

7 produced, which closely matched a calculated multinomial distribution based on IBC clonality.

8 ther, all four are better fitted by zero-sum multinomial distributions, characteristic of Hubbell's n

9 arity quantification method based on product multinomial distributions, demonstrate its ability to id

10 nce, and viability whose parameters define a multinomial distribution for single-spore data.

11 A multinomial distribution likelihood is constructed by co

12 In the present work, we propose a multinomial distribution model for assessment of Ag sele

13 Using a quasi-multinomial distribution model, our method is able to ca

14 ts from potential candidate peptides using a multinomial distribution model.

15 --using a heuristic algorithm, which matches multinomial distributions of distinct viral variants ove

16 f internal categories, each characterized by multinomial distributions over words (in abstracts) and

17 depth for all data as a mixture of Dirichlet-multinomial distributions, resulting in significant impr

18 framework region and CDR codons coupled with multinomial distribution studies found no substantial ev

19 this work, we provide a method based on the multinomial distribution that identifies signals of disp

20 Hence, instead of the conventional multinomial distribution, these tables have the empirica

21 ted with any observed sample, against a null multinomial distribution, using the likelihood-ratio sta

22 The DMN distribution reduces to the multinomial distribution when the overdispersion paramet

23 within a community should follow a zero-sum multinomial distribution (ZSM), but this has not, so far

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