ライフサイエンスコーパス: Poisson distribution

1 the candidate regions are assumed to follow Poisson distribution.

2 sing a latent variable representation of the Poisson distribution.

3 intervals (CIs) were calculated based on the Poisson distribution.

4 the controls are implemented using a random Poisson distribution.

5 f lesions gave 4-fold higher variance than a Poisson distribution.

6 s adsorbed to each QD is well-described by a Poisson distribution.

7 ays of follow-up in each interval assuming a Poisson distribution.

8 uggests that neural responses might follow a Poisson distribution.

9 ntained within each genomic region follows a Poisson distribution.

10 ed over a given time (10 and 20 s) follows a Poisson distribution.

11 bacterial pathogens are distributed within a Poisson distribution.

12 es were calculated under the assumption of a Poisson distribution.

13 US and CT requests showed Poisson distribution.

14 ber of crossovers was approximated well by a Poisson distribution.

15 lly homogeneous region vary according to the Poisson distribution.

16 find that the distribution closely matches a Poisson distribution.

17 and these event clusters are shown to fit a Poisson distribution.

18 ys agree, despite the discrete nature of the Poisson distribution.

19 mpetitive dilution, a new model based on the Poisson distribution.

20 f the study period, with the assumption of a Poisson distribution.

21 on time, which fits the isotopic manifold to Poisson distributions.

22 of RNA sequencing has been assumed to follow Poisson distributions.

23 A statistical model based on the Poisson distribution accurately predicted the observed h

24 A generalized linear model with a Poisson distribution and log link was used to examine th

25 The Poisson distribution and negative binomial distribution

26 The use of binomial and Poisson distributions and an analysis of clusters are pr

27 We show that the FH results give non-Poisson distributions and early folding events that are

28 Generalized linear models with log link, Poisson distributions, and robust standard errors were u

29 as heritability of traits with binomial and Poisson distributions are special cases of our expressio

30 The compound Poisson distribution arises when the word size k is larg

31 origin of this error is not a result of the Poisson distribution, as is often stated, but is entirel

32 We describe Transposon Annotation Poisson Distribution Association Network Connectivity En

33 ns and furans, which follow SOT based on the Poisson distribution, but not for polychloronaphthalenes

34 ctuations were deconvoluted by assuming that Poisson distributions characterize the molecular occupat

35 ividual amplification events to the expected Poisson distribution confirmed that the device could rel

36 HPV infections conformed to an overdispersed Poisson distribution, even after correction for known ri

37 ure components are modeled by a multivariate Poisson distribution for a count trait expressed in mult

38 esponse amplitudes could be well fitted to a Poisson distribution for most brainstem neurons.

39 The method assumes a Poisson distribution for the data mixed with a gamma dis

40 By assuming a Poisson distribution for the number of DNA fragments pre

41 aged CAT coding strand was calculated by the Poisson distribution for various times of UV-irradiation

42 ditional broadening of the PCH compared to a Poisson distribution is due to fluorescence intensity fl

43 A Poisson distribution is followed when a large number of

44 distribution the more general Conway-Maxwell-Poisson distribution is used instead.

45 T lymphocytes was then calculated using the Poisson distribution law.

46 /degradation ratio calculation is based on a Poisson distribution model that is designed to support h

47 oth old (Alu S and J) and young (Ya5), had a Poisson distribution of A-tail lengths with a mean size

48 ugh this model reproduces the apparently non-Poisson distribution of correspondence delays, its inter

49 show that this phenomenon can arise from the Poisson distribution of low populations of microscale de

50 rs present, we demonstrate a self-consistent Poisson distribution of molecular occupancy for well-sol

51 tors may account for the observed wider-than-Poisson distribution of mRNA copy numbers.

52 ted or founder viruses generally exhibited a Poisson distribution of mutations and star-like phylogen

53 that error-prone PCR produces a broader non-Poisson distribution of mutations consistent with a deta

54 randomly with near starlike phylogeny and a Poisson distribution of mutations.

55 luctuations in cones could be explained by a Poisson distribution of photoisomerizations within a poo

56 hromatography (PTGC) is shown to produce the Poisson distribution of retention times often postulated

57 on temperature in PTGC is shown to produce a Poisson distribution of retention times that is statisti

58 opulation codes based on neurons that have a Poisson distribution of spike probabilities, the behavio

59 eams form by a Poisson process and produce a Poisson distribution of team sizes in which larger teams

60 spatial correlations resulting from the sub-Poisson distribution of the spacing between topological

61 lap Score calculator), which was modified on Poisson distribution (one of 7 models) to avoid its disa

62 Based on the Poisson distribution pattern of proteomic data and the f

63 resources were estimated using zero-inflated Poisson distribution regression models adjusted for pati

64 shed that, for thermo-oxidative degradation, Poisson distribution represented a very successful appro

65 lations indicate that the deviation from the Poisson distribution results in a bias of around 5 % for

66 Poisson distribution statistics are then applied to asse

67 he well intensity frequency distribution and Poisson distribution statistics were used to count the p

68 use number vs. interval size plots can fit a Poisson distribution such that the largest number of int

69 ted with suboptimal MI values approximated a Poisson distribution, suggesting that MI captures biolog

70 o be available, but rather than assuming the Poisson distribution the more general Conway-Maxwell-Poi

71 hes on the main stems of poplar hybrids by a Poisson distribution, the new model was applied to map Q

72 be a new method for defining CISs based on a Poisson distribution, the Poisson Regression Insertion M

73 se the distribution deviates slightly from a Poisson distribution, the stamping machine is not perfec

74 populated recipients was explained using the Poisson distribution to calculate donor percentages in a

75 ussian-distributed data, our method uses the Poisson distribution to capture the count nature of the

76 We use this error rate and the Poisson distribution to define the cutoff to identify pr

77 Poisson distribution was used to calculate incidence rat

78 m acceptor incorporation into the micelle, a Poisson distribution was used to calculate the distribut

79 ndardised Mortality Ratio (SMR) based on the Poisson distribution were calculated using three propose

80 ate constants for the first decay followed a Poisson distribution, whereas rate constants for the sec

81 shed experiments than estimates based on the Poisson distribution, which implicitly assumes a single

82 Results indicate some deviation from the Poisson distribution, which is strongest for the virulen

83 very low probability and well-described by a Poisson distribution whilst similar MEPP(f) increases me

84 ng that the counts between two loci follow a Poisson distribution whose intensity decreases with the

85 em assume that the count phenotype follows a Poisson distribution with appropriate techniques being a

86 under the microscope and was described by a Poisson distribution with mean of 0.98 cell/well.

87 ber density of the streaks is described by a Poisson distribution, with an average thickness of appro

88 l and non-pyramidal neurons did not follow a Poisson distribution within the neuropil of control pati