11 papers · ranked by Valyu relevance
Torsti Schulz, Marjo Saastamoinen, Jarno Vanhatalo
Variance partitioning is a common tool for statistical analysis and interpretation in both observational and experimental studies in ecology. Its popularity has led to a proliferation of methods with sometimes confusing or contradicting interpretations. Here, we present variance partitioning as a general tool in a…
Ruogu Lin, Thomas Naselaris, Kendrick Kay, Leila Wehbe
Relating brain activity associated with a complex stimulus to different properties of that stimulus is a powerful approach for constructing functional brain maps. However, when stimuli are naturalistic, their properties are often correlated (e.g., visual and semantic features of natural images, or different layers of a…
Jiangshan Lai, Yi Zou, Jinlong Zhang, Pedro Peres-Neto
Canonical analysis, a generalization of multiple regression to multiple response variables, is widely used in ecology. Because these models often involve large amounts of parameters (one slope per response per predictor), they pose challenges to model interpretation. Currently, multi-response canonical analysis is…
Hal Caswell, Silke F. van Daalen
A heterogeneous population is a mixture of groups differing in vital rates. In such a population, some of the variance in demographic outcomes (e.g., longevity, lifetime reproduction) is due to heterogeneity and some is the result of stochastic demographic processes. Many studies have partitioned variance into its…
Robin S. Waples
Variance in reproductive success (, with k=number of offspring) plays a large role in determining the rate of genetic drift and the scope within which selection acts. Various frameworks have been proposed to parse factors that contribute to , but none has focused on age-specific values of , which indicate the degree to…
T. P. Oliveira, J. Obšteter, I. Pocrnic, N. Heslot + 1 more
In breeding programmes, the observed genetic change is a sum of the contributions of different groups of individuals. Quantifying these sources of genetic change is essential for identifying the key breeding actions and optimizing breeding programmes. However, it is difficult to disentangle the contribution of…
Nicholas Kortessis, José Miguel Ponciano, Franz W. Simon, Jake M. Ferguson
Understanding how populations respond to increasingly variable conditions is a major objective for natural resource managers attempting to forecast extinction risk. The lesson from current modeling is clear: Increasing environmental variability increases population abundance variability. We show that this paradigm…
Giovanna Peruzzi, Mattia Miotto, Roberta Maggio, Giancarlo Ruocco + 1 more
Asymmetric inheritance of organelle and cellular compounds between daughter cells impacts on the phenotypic variability and was found to be a hallmark for differentiation and rejuvenation in stem-like cells as much as a mechanism for enhancing resistance in bacteria populations. Whether the same processes take place in…
Xuan Zhou, Hae Kyung Im, S. Hong Lee
Linear mixed models (LMMs) using genome-based restricted maximum likelihood (GREML) are a key variance partitioning tool, where effects of multiple sources, such as different functional genomic regions, on phenotypes are treated as random. Classic LMMs assume independence between random effects, which can cause biased…
Yao Chen, Ward De Spiegelaere, Wim Trypsteen, David Gleerup + 2 more
Digital PCR (dPCR) is a highly accurate and precise technique for the quantification of target nucleic acid(s) in a biological sample. This digital quantification relies on the binomial or Poisson distribution to estimate the amount of target molecules based on positive and negative partitions. However, the…
Weijia Zhang, Thuc Le, Lin Liu, Jiuyong Li
Estimating heterogeneous treatment effects is an important problem in many medical and biological applications since treatments may have different effects on the prognoses of different patients. Recently, several recursive partitioning methods have been proposed to identify the subgroups that with different responds to…