22 papers · ranked by Valyu relevance
Bahare Salmani, Joost-Pieter Katoen
This paper addresses the -close parameter tuning problem for Bayesian networks (BNs): find a minimal -close amendment of probability entries in a given set of (rows in) conditional probability tables that make a given quantitative constraint on the BN valid. Based on the state-of-the-art "region verification"…
Nicholas Schreck, Manuel Wiesenfarth
In the linear mixed model (LMM), the simultaneous assessment and comparison of dispersion relevance of explanatory variables associated with fixed and random effects remains an important open practical problem. Based on the restricted maximum likelihood equations in the variance components form of the LMM, we prove a…
Emma Onkamo, Björn Sundström, Bengt Wahlin
Objectives Axial spondyloarthritis (axSpA) displays varying disease activity over time. However, few studies have examined the association between disease activity and seasonal differences, and consequently, evidence of a seasonality in disease activity in axSpA is limited. We therefore aimed to study the variation in…
Authors not listed
This paper presents the Multi Cell-line Kinetic Model (MCKM), a novel generalised kinetic mechanistic model specifically tailored for Ambr15™ fed-batch cultivations of multiple Chinese Hamster Ovary (CHO) cell lines producing different recombinant monoclonal antibodies (mAbs). Unlike traditional models that requires…
Paulo Sérgio Panse Silveira, José de Oliveira Siqueira
Background and Objective: Histograms and Pearson's coefficient of variation are among the most popular summary statistics. Researchers use histograms to judge the shape of quantitative data distribution by visual inspection. The coefficient of variation is taken as an estimator of relative variability of these data. We…
Andrew Gelman, Jessica Hullman, Lauren Kennedy
The average causal effect can often be best understood in the context of its variation. We demonstrate with two sets of four graphs, all of which represent the same average effect but with much different patterns of heterogeneity. As with the famous correlation quartet of Anscombe (1973), these graphs dramatize the way…
Anna Posfai, Juannan Zhou, David M. McCandlish, Justin B. Kinney
Quantitative models of sequence-function relationships are ubiquitous in computational biology, e.g., for modeling the DNA binding of transcription factors or the fitness landscapes of proteins. Interpreting these models, however, is complicated by the fact that the values of model parameters can often be changed…
Friedrich Laidig, Alexandra Hüsken, Dirk Rentel, Hans-Peter Piepho
Key message A novel approach based on the loaf volume-grain protein content relation is suggested to consider the static protein use efficiency and stability as efficient quality-related descriptors for wheat varieties. Abstract The most important trait for baking quality of winter wheat is loaf volume (V). It is…
Anna Posfai, Juannan Zhou, David M. McCandlish, Justin B. Kinney
Quantitative models of sequence-function relationships are ubiquitous in computational biology, e.g., for modeling the DNA binding of transcription factors or the fitness landscapes of proteins. Interpreting these models, however, is complicated by the fact that the values of model parameters can often be changed…
Zoltán Botta-Dukát
Comparing within-species variations of traits can be used in testing ecological theories. In these comparisons, it is useful to remove the effect of the difference in mean trait values, therefore measures of relative variation, most often the coefficient of variation (CV), are used. The studied traits are often…
Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh + 1 more
'Mashitah Jusoh' 'Md Al Mamun'] This investigation was carried out to explore G × E interaction for yield and its associated attributes in 30 Bambara groundnut genotypes across four environments in tropical Malaysia. Such evaluations are essential when the breeding program's objective is to choose genotypes with broad…
Mikaela Cashman, Myra B. Cohen, Alexis L. Marsh, Robert W. Cottingham
Biology is a quest; an ongoing inquiry about the nature of life. How do the different forms of life interact? What makes up an ecosystem? How does a tiny bacterium work? To answer these questions biologists turn increasingly to sophisticated computational tools. Many of these tools are highly configurable, allowing…
Sohaib Ahmad, Nitesh Kumar Adichwal, Muhammad Aamir, Javid Shabbir + 3 more
'Najwan Alsadat' 'Mohammed Elgarhy' 'Hijaz Ahmad'] In this article, we have suggested a new improved estimator for estimation of finite population variance under simple random sampling. We use two auxiliary variables to improve the efficiency of estimator. The numerical expressions for the bias and mean square error…
Zac P. Robinson, James Steele, Eric R. Helms, Eric T. Trexler + 8 more
There is growing emphasis on investigating heterogeneity in resistance training (RT) outcomes, likely motivated by observations of substantial gross variability in training effects. However, gross variability does not necessarily represent true inter-individual response variation (IRV) and can be obscured by…
Fintan Costello, Paul Watts
Estimates of uncertainty or variance in experimental means are central to physics. This is especially the case for 'world averages' of fundamental parameters in particle physics, which aggregate results from a number of experiments to express current knowledge about these parameters and where variances in these world…
Scott Wolf, Diogo Melo, Kristina M. Garske, Luisa F. Pallares + 2 more
Gene expression variance has been linked to organismal function and fitness but remains a commonly ne-glected aspect of molecular research. As a result, we lack a comprehensive understanding of the patterns of transcriptional variance across genes, and how this variance is linked to context-specific gene regulation and…
Authors not listed
Physics-based methods such as protein-ligand binding free energy calculations have been increasingly adopted in early-stage drug discovery to prioritize promising compounds for synthesis. However, the accuracy of these methods is highly dependent on details of the calculation and choices made while preparing the…
Zhenghao Wu, Tianhang Zhou
In the realm of multiscale molecular simulations, structure-based coarse graining is a prominent approach for creating efficient coarse-grained (CG) representations of soft matter systems such as polymers. This involves optimizing CG interactions by matching static correlation functions of corresponding degrees of…
Agastya P Bhati, Peter V. Coveney
The accurate and reliable prediction of protein-ligand binding affinities can play a central role in the drug discovery process as well as in personalised medicine. Of considerable importance during lead optimisation are the alchemical free energy methods that furnish estimation of relative binding free energies (RBFE)…
Authors not listed
Optimizing the synthesis conditions of advanced materials is challenging, especially when outcomes are subject to inherent experimental uncertainties. Bayesian optimization is a popular tool for accelerating materials discovery, but its standard risk-neutral framework overlooks the variability of outcomes under…
Saburo Tsuru, Chikara Furusawa
The rate and direction of phenotypic evolution depend on the availability of phenotypic variants induced genetically or environmentally. It is widely accepted that organisms do not display uniform phenotypic variation, with certain variants arising more frequently than others in response to genetic or environmental…
Authors not listed
Developing a transferable classical force field (FF) has historically been a lengthy, expert-informed process. In this work, we integrate optimization, machine learning, and data science techniques to accelerate the systematic design and parameterization of transferable FF models. As a demonstration, we create…