Sentence examples for approaches and regression from inspiring English sources

Previous computational methods to quantify and visualize kinetic differential expression data of three or more lineages to identify reciprocally regulated genes have relied on clustering approaches and regression methods which have time as a factor, but have lacked methods which explicitly model temporal behavior.

In this study, the integrated genetic linkage map was calculated by using the joint data approach and regression mapping algorithm of JoinMap® 4 [ 17].

Two recursive partitioning tree-based approaches: Classification and Regression Trees (CARTs) and Multivariate Regression Trees (MRTs) were employed to generate predictive models respectively.

Coordinates of domains defined as HL1 and LL1 for chromosomes 3, 12 and 17 are listed in Additional file 5. Two different modelling approaches, classification and regression trees, were applied.

The three across-cluster MI strategies are propensity score method, random-effects (RE) logistic regression approach, and logistic regression with cluster as a fixed effect.

Two different approaches, maximum likelihood and regression interval mapping, were used in order to search for QTL.

The proposed approach is compared with the equal weights approach and the regression method.

Table 6 lists the diffusion coefficients determined by parameter fitting, the Nicholson-Shain equation approach, and the regression algorithms.

The difference in the results between this approach and ordinary regression is indeed minor.

We then estimated the association between NPSGs and initiation of OAT among individuals with new onset AF using a difference-in-difference approach and multivariable regression equations.

A receiver-operating characteristic-based approach and logistical regression analysis were used to determine the predictive value of clinicopathologic factors, including CXCR4 expression, in bone metastasis.