scholarly journals LAB-AID (Laboratory Automated Interrogation of Data): an interactive web application for visualization of multi-level data from biological experiments

2019 ◽  
Author(s):  
Zrinko Kozic ◽  
Sam Booker ◽  
Owen Dando ◽  
Giles Hardingham ◽  
Peter Kind
Keyword(s):  
Experimental Data ◽  
Web Application ◽  
Laboratory Experiments ◽  
Statistical Tests ◽  
Hierarchical Data ◽  
Batch Effects ◽  
Considerable Effort ◽  
Interactive Tool ◽  
Level Data ◽  
Multi Level

AbstractA key step in understanding the results of biological experiments is visualization of the data. Many laboratory experiments contain a range of measurements that exist within a hierarchy of interdependence. An automated way to visualise and interrogate experimental data would: 1) lead to improved understanding of the results, 2) help to determine which statistical tests should be performed, and 3) easily identify outliers and sources of batch effects. Unfortunately, existing graphing solutions often demand expertise in programming, require considerable effort to import and examine such multi-level data, or are unnecessarily complex for the task at hand. Here we present LAB-AID (Laboratory Automated Interrogation of Data), an interactive tool specifically designed to automatically visualize and query hierarchical data resulting from biological experiments.

scholarly journals PheWAS-ME: A web-app for interactive exploration of multimorbidity patterns in PheWAS

2019 ◽  
Author(s):  
Nick Strayer ◽  
Jana K Shirey-Rice ◽  
Yu Shyr ◽  
Joshua C. Denny ◽  
Jill M. Pulley ◽  
...  
Keyword(s):  
Web Application ◽  
Genetic Variant ◽  
Statistical Tests ◽  
R Package ◽  
Individual Level ◽  
Link Type ◽  
Level Data ◽  
Phenotype Data ◽  
Tests Of Association ◽  
Web App

AbstractSummaryElectronic health records (EHRs) linked with a DNA biobank provide unprecedented opportunities to use big data for biomedical research in precision medicine. The Phenome-wide association study (PheWAS) is a widely used technique for high-throughput evaluation of relationships between a set of genetic variants and a large collection of clinical phenotypes recorded in EHRs. PheWAS analyses are typically presented as static tables and charts of summary statistics obtained from statistical tests of association between pairs of a genetic variant and individual phenotypes. Comorbidities are common and typically lead to complex, multivariate gene-disease association signals that are challenging to interpret. Discovering and interrogating multimorbidity patterns and their influence in PheWAS is difficult and time-consuming. Here, we present a web application to visualize individual-level genotype and phenotype data side-by-side with PheWAS analysis results in an interactive dashboard, allowing researchers to explore multimorbidity patterns and their associations with a genetic variant of interest. We expect this application to enrich PheWAS analyses by illuminating clinical multimorbidity patterns present in the data.AvailabilityA demo PheWAS-ME application is publicly available at https://prod.tbilab.org/phewas_me/. A sample simulated-dataset is provided for exploration with the option to upload custom PheWAS results and corresponding individual-level data. The source code is available as an R package on GitHub (https://github.com/tbilab/multimorbidity_explorer).

scholarly journals Modelling time efficiency of cobot-supported kit preparation

2019 ◽  
Vol 106 (5-6) ◽  
pp. 2227-2241 ◽  
Author(s):  
Patrik Fager ◽  
Martina Calzavara ◽  
Fabio Sgarbossa
Keyword(s):  
Experimental Data ◽  
Mathematical Model ◽  
Cycle Time ◽  
Laboratory Experiments ◽  
Spare Parts ◽  
Batch Preparation ◽  
Assembly Quality ◽  
Numerical Example ◽  
Business To Business ◽  
Support Time

AbstractKitting – meaning to supply assembly with components in presorted kits – is widely seen as beneficial for assembly quality and efficiency when there is a multitude of component variants. However, the process by which kits are prepared – the kit preparation – is labour-intensive, and kit errors are problematic at assembly processes. The use of robotics to support kit preparation has received some attention by researchers, but literature is lacking with respect to how collaborative robots – cobots – can support kit preparation activities. The purpose of this paper is to identify the potential of a cobot to support time-efficient batch preparation of kits. To address the purpose, the paper presents a mathematical model for estimation of the cycle time associated with cobot-supported kit preparation. The model is applied in a numerical example with experimental data from laboratory experiments, and cobot-supported kit preparation is compared with manual kit preparation. The findings suggest that cobot-supported kit preparation is beneficial with diverse kits and smaller components quantities per SKU (Stock Keeping Unit) and provides less variability of the outcome, when compared to manual kit preparation. The paper reveals several insights about cobot-supported kit preparation that can be valuable for both academics and practitioners. The model developed can be used by practitioners to assess the potential of cobots to support kit-batch preparation in association with assembly, spare parts, repair and maintenance, or business to business industry.

Analyzing Herbicide Interactions: A Statistical Treatment of Colby's Method

1988 ◽  
Vol 2 (3) ◽  
pp. 304-309 ◽  
Author(s):  
Jerry L. Flint ◽  
Paul L. Cornelius ◽  
Michael Barrett
Keyword(s):  
Experimental Data ◽  
Statistical Tests ◽  
Statistical Treatment ◽  
Measurement Scale ◽  
Growth Data ◽  
Significance Tests ◽  
Anova Model ◽  
Heterogeneity Of Variance ◽  
Original Measurement ◽  
Data Heterogeneity

A model and a proposed method for testing herbicide interactions were modified from an analysis of variance (ANOVA) model for a 2 by 2 factorial experiment. Statistical tests for either synergism, antagonism, or additivity of herbicide combinations were developed through transforming growth data to logarithms followed by significance tests of 2 by 2 contrasts of the form μii- μi0- μ0i+ μ00with respect to the log-transformed data. Using actual experimental data, heterogeneity of variance was less severe on the log scale compared to the original measurement scale. An expedient SAS(R)program for obtaining the desired significance tests was developed.

MODELLING OF 226Ra ACTIVITY CONCENTRATIONS ALONG OGUN RIVER, SOUTH WESTERN NIGERIA

2018 ◽  
Vol 14 (2) ◽  
pp. 1-14
Author(s):  
I C OKEYODE ◽  
N N JIBIRI ◽  
R BELLO
Keyword(s):  
Experimental Data ◽  
Gamma Ray ◽  
Statistical Tests ◽  
Least Square ◽  
Approximation Technique ◽  
Sediment Samples ◽  
Gamma Ray Spectrometer ◽  
Activity Concentrations ◽  
226Ra Activity ◽  
Ogun River

This work was aimed at generating a model using least square approximation technique to predict values of activity concentrations of 226Ra in any location along Ogun river in Nigeria using experimental data. Sediment samples were collected in thirty two locations along the river of about 400 km in length. NaI(Tl) gamma-ray spectrometer system was used to obtain activity concentrations of 226Ra.The aver-age value of activity concentration of 226Ra in the sediment samples from the upper region through the middle to the lower region of the river was found to be 12.65 ± 3.48 Bq/kg, having values ranging from 5.57 ± 2.36 Bq/kg (at Ekerin) to 20.40 ± 4.52 Bq/kg (at Sokori). From this work, it was observed that the generated model and experimental data could be used to predict values of activity concentrations of 226Ra in any location along the river once the latitude and longitude (position) are known. Statistical tests on the model also showed that there were no significant differences between the experimental and predicted data of 226Ra and that 98.70% of the experimental data were predicted by the model.

Characteristics of Hydraulic Shock Waves in an Inclined Chute Contraction - Experiments

2009 ◽  
Vol 25 (1) ◽  
pp. 129-136 ◽  
Author(s):  
C.-D. Jan ◽  
C.-J. Chang ◽  
J.-S. Lai ◽  
W.-D. Guo
Keyword(s):  
Experimental Data ◽  
Shock Waves ◽  
Froude Number ◽  
Inclination Angle ◽  
Laboratory Experiments ◽  
Deflection Angle ◽  
Experimental Results ◽  
Regression Analyses ◽  
Hydraulic Shock ◽  
Empirical Relations

AbstractThis paper presents the experimental results of the characteristics of hydraulic shock waves in an inclined chute contraction with consideration of the effects of sidewall deflection angle φ, bottom inclination angle θ and approach Froude number Fr0. Seventeen runs of laboratory experiments were conducted in the range of 27.45° ≤φ ≤ 40.17°, 6.22° ≤ θ ≤ 25.38° and 1.04 ≤ Fr0 ≤ 3.51. Based on the experimental data, three empirical dimensionless relations for the shock angle, maximum shockwave height, and corresponding position of maximum shockwave were obtained by regression analyses, respectively. These empirical relations would be useful for hydraulic engineers in designing chute contraction structures.

scholarly journals Determinants of Consistent Condom Use Vary by Partner Type among Young Men in Kisumu, Kenya: A Multi-level Data Analysis

2008 ◽  
Vol 14 (4) ◽  
pp. 949-959 ◽  
Author(s):  
Nelli Westercamp ◽  
Christine L. Mattson ◽  
Michelle Madonia ◽  
Stephen Moses ◽  
Kawango Agot ◽  
...  
Keyword(s):  
Data Analysis ◽  
Condom Use ◽  
Young Men ◽  
Consistent Condom ◽  
Consistent Condom Use ◽  
Partner Type ◽  
Level Data ◽  
Multi Level

Improved multi-level data storage properties of germanium-antimony-tellurium films by nitrogen doping

2017 ◽  
Vol 141 ◽  
pp. 120-124 ◽  
Author(s):  
Xiao Yu ◽  
Yue Zhao ◽  
Chao Li ◽  
Chaoquan Hu ◽  
Liang Ma ◽  
...  
Keyword(s):  
Data Storage ◽  
Nitrogen Doping ◽  
Level Data ◽  
Multi Level ◽  
Storage Properties

scholarly journals LandScape: a web application for interactive genomic summary visualization

2019 ◽  
Author(s):  
Wenlong Jia ◽  
Hechen Li ◽  
Shiying Li ◽  
Shuaicheng Li
Keyword(s):  
Genetic Information ◽  
Web Application ◽  
Genomic Research ◽  
File Format ◽  
Data Types ◽  
Web Based ◽  
Link Type ◽  
Level Data ◽  
Real Time Visualization ◽  
Information Landscape

ABSTRACTSummaryVisualizing integrated-level data from genomic research remains a challenge, as it requires sufficient coding skills and experience. Here, we present LandScapeoviz, a web-based application for interactive and real-time visualization of summarized genetic information. LandScape utilizes a well-designed file format that is capable of handling various data types, and offers a series of built-in functions to customize the appearance, explore results, and export high-quality diagrams that are available for publication.Availability and implementationLandScape is deployed at bio.oviz.org/demo-project/analyses/landscape for online use. Documentation and demo data are freely available on this website and GitHub (github.com/Nobel-Justin/Oviz-Bio-demo)[email protected]

scholarly journals An organ-based multi-level model for glucose homeostasis: organ distributions, timing, and impact of blood flow

2020 ◽  
Author(s):  
Tilda Herrgårdh ◽  
Hao Li ◽  
Elin Nyman ◽  
Gunnar Cedersund
Keyword(s):  
Blood Flow ◽  
Glucose Homeostasis ◽  
Statistical Tests ◽  
Cellular Level ◽  
Whole Body ◽  
Response Curves ◽  
Future Data ◽  
Level Model ◽  
Multi Level ◽  
Original Cell

AbstractGlucose homeostasis is the tight control of glucose in the blood. This complex control is important and not yet sufficiently understood, due to its malfunction in serious diseases like diabetes. Due to the involvement of numerous organs and sub-systems, each with their own intra-cellular control, we have developed a multi-level mathematical model, for glucose homeostasis, which integrates a variety of data. Over the last 10 years, this model has been used to insert new insights from the intra-cellular level into the larger whole-body perspective. However, the original cell-organ-body translation has during these years never been updated, despite several critical shortcomings, which also have not been resolved by other modelling efforts. For this reason, we here present an updated multi-level model. This model provides a more accurate sub-division of how much glucose is being taken up by the different organs. Unlike the original model, we now also account for the different dynamics seen in the different organs. The new model also incorporates the central impact of blood flow on insulin-stimulated glucose uptake. Each new improvement is clear upon visual inspection, and they are also supported by statistical tests. The final multi-level model describes >300 data points in >40 time-series and dose-response curves, resulting from a large variety of perturbations, describing both intra-cellular processes, organ fluxes, and whole-body meal responses. We hope that this model will serve as an improved basis for future data integration, useful for research and drug developments within diabetes.

Statistical Evaluation of Some Hot Rolling Theories

1982 ◽  
Vol 104 (1) ◽  
pp. 47-52 ◽  
Author(s):  
A. Murthy ◽  
J. G. Lenard
Keyword(s):  
Experimental Data ◽  
Hot Rolling ◽  
Laboratory Experiments ◽  
Statistical Evaluation ◽  
Low Carbon ◽  
Flow Strength ◽  
Hsla Steels ◽  
Accuracy And Precision ◽  
Hot Strip ◽  
Hot Strip Mills

The accuracy and precision of four mathematial models of varying complexity are evaluated by comparing their predictions to experimental data generated in carefully controlled laboratory experiments and to production logs obtained from the finishing trains of several Canadian, American, and European hot strip mills. The materials rolled are low carbon and HSLA steels; the models used are Orowan’s formulation with Shida’s flow strength and Ford and Alexander’s formulation with Shida’s flow strength; then both these formulations are combined with Ekelund’s flow strength equation. It is concluded that Orowan’s formulation with Shida’s flow strength relation is the most consistently accurate technique of analysis. Further, the behavior of HSLA steels is not well described by either Shida’s or Ekelund’s equations.

Sign in / Sign up

Export Citation Format

Share Document