Sentences with phrase «computational modelling methods»

Not exact matches

The strongest research methods for psychological studies are: qualitative findings versus quantitative; experimental rather than descriptive or correlational; controlled - experiment, meta - analysis, and observation designs over archival, case study, computational modeling, content analysis, field experiment, interview, neuroimaging, quasi experiment, self - report inventory, random sample survey, or twin study; and prospective (where subjects are recruited prior to the proposed independent effects being administered) and longitudinal (where subjects are studied at multiple time points) rather than retrospective or cross-section study.

The method, called computational Bayesian phylogenetics, forces researchers to explicitly quantify the uncertainty in the models, says linguist Claire Bowern of Yale University, a pioneer of the approach and co-author of the new study.

Traditional atomistic calculation methods involve a heavy computational workload, which sometimes prevents their application to systems large enough to model the experimental structural complexity of real samples.

By combining data on optometry patient's eyes with advanced computational methods, Indiana University researchers have created a virtual tissue model of diabetes in the eye.

«This method is a significant step forward because it allows us to model the absorption spectrum of molecular systems of hundreds of atoms at lower computational cost.»

«We will develope a series of computational methods for drug combination prediction, modeling and data analysis.

The resulting diffraction pattern was then converted using computational methods into a model of the toxin.

Researchers at Indiana University have predicted the popularity of new faces to the world of modeling with over 80 percent accuracy using advanced computational methods and data from Instagram.

The first group participates in an intensive 4 - week collaborative learning experience on dynamical systems (broadly understood to include stochastic processes), modeling, and computational methods.

We developed a computational model that learns from the limited data we already have, and then allows us to screen potential candidates from a massive database of materials about a million times faster than current screening methods.»

BLOOMINGTON, Ind. — By combining data on optometry patients» eyes with advanced computational methods, Indiana University researchers have created a virtual tissue model of diabetes in the eye.

Further research topics are statistical / computational methods to study complex experimental data (e.g. cellular genealogies) and image analysis procedures (e.g. model - based segmentation algorithms in the context of automatic single cell tracking).

We focus on developing computational methods and tools for (a) analyzing large - scale gene expression data related to human cancer in search for gene markers and disease sub-categories, (b) identifying regulatory elements such as miRNA precursors and their targets in whole genomes of plants and mammals, (c) building theoretical models of gene regulatory networks.

Methods: Rosso and Sushko developed a new multi-scale computational model that encompasses the essential forces acting between atoms, molecules, and particles.

The ideal candidate should be well versed in one or more of the following areas: electronic circuit design, flexible electronics, analytical modeling and possibly computational methods.

Rational design approaches to this problem have often used complex computational methods, have targeted simple model reactions and have typically led to low levels of catalysis1.

But experimental and computational scientists developed methods to sift through all the complexity and improve the illusive process of prediction with a simple model.

We developed several computational and machine learning methods to successfully identify behavioral patterns or signatures associated with different classes of reference drugs, from which to predict the class of novel compounds (Brunner et al., 2012, Alexandrov et al., 2015), and more recently developed methods to allow us to compare animal models of AD and its progression, and to identify (in silico) novel compounds from our existing database of thousands of novel and reference compounds with the potential to reverse the AD model behavioral profile.

This environment, designated the Virtual Environment for Reactor Applications (VERA), incorporates science - based models, state - of - the - art numerical methods, modern computational science and engineering practices, and uncertainty quantification (UQ) and validation against data from operating pressurized water reactors (PWRs), single - effect experiments, and integral tests.

Stegmaier P, Voss N, Meier T, Kel A, Wingender E, Borlak J.Advanced Computational Biology Methods Identify Molecular Switches for Malignancy in an EGF Mouse Model of Liver Cancer.

Computational methods for identifying new risk loci, training risk prediction models, and fine - mapping causal variants from summary statistics of genome - wide association studies are playing an increasingly important role in the human genetics community.

Methods: Electrophysiological and optical recordings in brain slices and in vivo, molecular genetic and pharmacological manipulations, computational modelling, and behavioural tests.

Since its founding, Neural Bytes has developed computational methods to build biologically realistic models of human auditory and visual object processing using neurophysiological and neuroimaging data.

Examples may include systems science approaches (e.g., computational modeling and simulation, network analysis, and engineering control methods) to conceptualize prevention at the micro - or macro-levels of analyses; alternative intervention designs for when randomization is not possible; new methods for optimization of interventions; adaptive interventions and SMART designs; and innovative analytic approaches including time varying effect models, and models for incorporating intensive longitudinal data and / or real time data capture in prevention science research.

However, Gillespie adds, it was only with the advent of accessible computational power that major shortcomings of analytical methods could be overcome, enabling the creation of comprehensive models that can simulate and evaluate vehicle behavior before being rendered in hardware.

The meeting included focus sessions on computational methods for modeling and handling large amounts of data, characterizing uncertainty, research on dust and aerosols, soils, urban systems and individual topics that are too numerous to list, from science communication and stellar astrophysics to biogeochemistry.

These models are incorporate a wide theoretical framework from the sciences of fluid dynamics, thermodynamics, astronomy, chemistry, and so on together with real earth observations, and computational methods.

Abstract: There are procedures and methods for verification of coding algebra and for validations of models and calculations that are in use in the aerospace computational fluid dynamics (CFD) community.

Andrew is interested in combining archaeological methods and theory with ethnographic data and computational modeling to develop new ways to push the boundaries of our understanding of the social, cultural, and evolutionary aspects of the human past.

About Blog BMC Bioinformatics is an open access, peer - reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology.