Works Published in 2019
Displaying all 9 works
Sorted by most recent date added to the index first, which may not be the same as publication date order.
2019 journal article
Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization
PLOS ONE, 14(10).
MeSH headings : Chemistry Techniques, Analytical / methods; Gas Chromatography-Mass Spectrometry; Petroleum / analysis; Principal Component Analysis; Reference Standards; Sample Size
TL;DR:
A framework with unsupervised and supervised analyses to optimally group complex substances based on their analytical features is proposed and a quantitative comparative assessment of clustering results via Fowlkes–Mallows index, and classification results via model accuracies in predicting the group of an unknown complex substance is presented.
(via Semantic Scholar)
journals.plos.org (publisher PDF)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: June 1, 2020
2019 journal article
A note on cyclic shift permutation testing for large eigenvalues
Stat, 8(1).
author keywords: eigendecomposition; Marcenko-Pastur; Tracy-Widom
Source: ORCID
Added: December 18, 2019
2019 article
Development of the Texas A&M Superfund Research Program Computational Platform for Data Integration, Visualization, and Analysis
29TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT A, Vol. 46, pp. 967–972.
author keywords: Data analytics; data integration; statistical analysis; collaborative networks
TL;DR:
The Texas A&M Superfund Research Program computational platform is demonstrated, which houses and integrates large-scale, diverse datasets generated across the Center, provides basic visualization service to facilitate interpretation, monitors data quality, and finally implements a variety of state-of-the-art statistical analysis for model/tool development.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: November 25, 2019
2019 article
Marker-Trait Complete Analysis
Zhou, Y.-H., Gallins, P., & Wright, F. (2019, November 9). (Vol. 11). Vol. 11.
TL;DR:
MTCA uses the conditional inference implicit in permutation as a motivational frame-work, but provides an option for fast screening with two novel tools: a multivariate-normal approximation for the max statistic, and the concept of eigenvalue-conditional moments for the sum statistic.
(via Semantic Scholar)
Source: ORCID
Added: November 10, 2019
2019 journal article
Set‐based differential covariance testing for genomics
Stat, 8(1).
author keywords: asymptotics; covariance testing; permutation
TL;DR:
A simple uniform framework to test association of covariance matrices with an experimental variable, whether discrete or continuous, and a new “connectivity” statistic that is sensitive to the changes in overall covariance magnitude is described.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: ORCID
Added: October 7, 2019
2019 journal article
Using Collaborative Cross Mouse Population to Fill Data Gaps in Risk Assessment: A Case Study of Population-Based Analysis of Toxicokinetics and Kidney Toxicodynamics of Tetrachloroethylene
ENVIRONMENTAL HEALTH PERSPECTIVES, 127(6).
MeSH headings : Animals; Collaborative Cross Mice; Glutathione / analogs & derivatives; Glutathione / metabolism; Hepatitis A Virus Cellular Receptor 1 / genetics; Hepatitis A Virus Cellular Receptor 1 / metabolism; Kidney / drug effects; Kidney Diseases / chemically induced; Kidney Diseases / metabolism; Liver / drug effects; Male; Risk Assessment / methods; Species Specificity; Tetrachloroethylene / metabolism; Tetrachloroethylene / pharmacokinetics; Tetrachloroethylene / toxicity; Toxicokinetics
TL;DR:
The utility of the CC mouse population is demonstrated in characterizing metabolism–toxicity interactions and quantifying interindividual variability and the default uncertainty factor for human variability may be marginally adequate to protect 95%, but not more, of the population for kidney toxicity mediated by PERC.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: July 29, 2019
2019 review
A Review and Tutorial of Machine Learning Methods for Microbiome Host Trait Prediction
[Review of ]. FRONTIERS IN GENETICS, 10.
author keywords: disease; phenotype; modeling; machine learning; prediction
TL;DR:
The most commonly used machine learning methods are explored, and their prediction accuracy as applied to microbiome host trait prediction is evaluated.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: July 15, 2019
2019 journal article
Population-Based Analysis of DNA Damage and Epigenetic Effects of 1,3-Butadiene in the Mouse
CHEMICAL RESEARCH IN TOXICOLOGY, 32(5), 887–898.
MeSH headings : Animals; Butadienes / toxicity; Carcinogens, Environmental / toxicity; DNA Adducts / chemistry; DNA Adducts / genetics; DNA Adducts / metabolism; DNA Methylation / drug effects; Epigenesis, Genetic / drug effects; Guanine / analogs & derivatives; Guanine / chemistry; Histones / metabolism; Kidney / drug effects; Liver / drug effects; Lung / drug effects; Male; Mice; Mutagens / toxicity
TL;DR:
1,3-butadiene is used to demonstrate how the Collaborative Cross mouse population can be used to identify the mechanisms for and quantify the degree of interindividual variability in tissue-specific effects that are relevant to chemically induced carcinogenesis.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science; OpenAlex)
Source: Web Of Science
Added: June 17, 2019
2019 journal article
Multi-dimensional in vitro bioactivity profiling for grouping of glycol ethers
REGULATORY TOXICOLOGY AND PHARMACOLOGY, 101, 91–102.
author keywords: New assessment methodologies; Glycol ethers; In vitro; ToxPi; Read-across; Safety assessment
MeSH headings : Animals; Cell Line; Ethers / classification; Ethers / toxicity; Glycols / classification; Glycols / toxicity; Humans; Risk Assessment; Solvents / classification; Solvents / toxicity; Toxicity Tests
TL;DR:
In this study, a suite of organotypic and population‐based in vitro models are applied for comprehensive bioactivity profiling of twenty E‐Series and P‐Series glycol ethers, solvents with a broad variation in toxicity ranging from relatively non‐toxic to reproductive and hematopoetic system toxicants.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: April 22, 2019
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