ライフサイエンスコーパス: hypergeometric

1 including > or = 240 000 articles at PubMed, hypergeometric and GSEA-like enrichment statistics, pipe

2 cientific disciplines: multinomial, Poisson, hypergeometric, and Bernoulli product.

3 is placed on binomial-, beta-binomial-, and hypergeometric-based sampling strategies as they pertain

4 nrichment Motif Searching (GEMS) that uses a hypergeometric-based scoring function and a position-wei

5 mary, we propose that the characteristics of hypergeometric connectivity provide a coherent explanato

6 ursor masses using a peak score based on the hypergeometric distribution and an intensity score utili

7 The hypergeometric distribution constitutes null hypothesis-

8 Further analysis using a hypergeometric distribution indicated that polymorphic s

9 It relies on the hypergeometric distribution model to discover key phrase

10 Using the assumption of a hypergeometric distribution of hotspot mutations among b

11 c model for peptide identification that uses hypergeometric distribution to approximate fragment ion

12 Our procedure uses Fisher's noncentral hypergeometric distribution to generate permuted data se

13 The method employs a hypergeometric distribution to model frequencies of matc

14 The hypergeometric distribution used by the standard method

15 The test is based on the hypergeometric distribution, which naturally arises as t

16 small RNA clusters by evaluating P-values of hypergeometric distribution.

17 ted from randomly overlapping pixels given a hypergeometric distribution.

18 It is shown that hypergeometric distributions minimize a range of measure

19 ment p-value of these terms generated from a hypergeometric enrichment test.

20 The hypergeometric formula determined sample sizes and cut-o

21 arithmetic relations between values of p+1Fp hypergeometric functions and their values are analyzed.

22 novel asymptotic expansions of the required hypergeometric functions are provided to make evaluation

23 The scores generated by the hypergeometric model do not have a significant molecular

24 To check the validity of the hypergeometric model in describing fragment ion matches,

25 -based probability methods (like Poisson and hypergeometric models) are the most specific for matchin

26 a threshold-free algorithm called Rank-rank Hypergeometric Overlap (RRHO).

27 ly significant overlap with published cases (hypergeometric p = 4.4e-13).

28 Hypergeometric P-value analysis showed that hundreds of

29 ape plot that tracks occurrence biases using hypergeometric P-values for all words across the gene ra

30 Here we use the hypergeometric phenotypic model to show that sympatric s

31 This article shows that this hypergeometric polygenic model also approximates polygen

32 l example illustrates the application of the hypergeometric polygenic model to risk prediction under

33 nomial and multinomial models, which use the hypergeometric probabilities and cross-correlation score

34 istribution of frequencies and corresponding hypergeometric probabilities are generated for each tand

35 in the database (the null hypothesis) or the hypergeometric probability scores of the protein's pepti

36 genes with related functions, the cumulative hypergeometric probability was calculated by obtaining t

37 ons from earlier algorithms, which implement hypergeometric probability, Poisson's model, and cross-c

38 Hypergeometric, rank tail-strength and gene-set enrichme

39 ic numbers as rapidly convergent generalized hypergeometric series in rational parameters.

40 A hypergeometric tail probability for the chance occurrenc

41 epresentation analysis (ORA), which uses the hypergeometric test (or its variants) to evaluate whethe

42 ent (~134%) than either ranking based on the hypergeometric test (~109%) or occurrence ranking (~46%)

43 Using a hypergeometric test for concordance, the MNNG-induced ho

44 The hypergeometric test of enrichment was not significant at

45 tatistical test that extends the widely used Hypergeometric test of gene set enrichment to account fo

46 nder-representation using either a classical hypergeometric test or a conditional hypergeometric that

47 th drug and drug classes using a conditional hypergeometric test that adjusts for dependencies among

48 ver, the standard ORA, which is based on the hypergeometric test, analyzes each GO term in isolation

49 Ontology (GO) categories using the standard hypergeometric test, by randomly sampling non-coding ele

50 community, is a major problem for classical hypergeometric test-based ORA approaches, which cannot a

51 ages within and between the two species by a hypergeometric test.

52 gene-set enrichment analysis (GSEA) and the hypergeometric test.

53 algorithm, gene set enrichment analysis, and hypergeometric test; using this method, we identified 50

54 ToppCluster uses hypergeometric tests to obtain list-specific feature enr

55 assical hypergeometric test or a conditional hypergeometric that uses the relationships among GO term