Genome-Wide Multiple Sclerosis Association Data and Coagulation [PDF]
, 2019 The emerging concept of a crosstalk between hemostasis, inflammation, and immune system prompt recent works on coagulation cascade in multiple sclerosis (MS).
Arianna Fornasiero +10 more
core +2 more sources
Hierarchical-Matching-Based Online and Real-Time Multi-Object Tracking with Deep Appearance Features
Algorithms, 2020 Based on tracking-by-detection, we propose a hierarchical-matching-based online and real-time multi-object tracking approach with deep appearance features, which can effectively reduce the false positives (FP) in tracking.
Qingge Ji, Haoqiang Yu, Xiao Wu
doaj +1 more source
Multi-Spacecraft Tracking and Data Association Based on Uncertainty Propagation
Applied Sciences, 2022 This paper proposed a novel multi-spacecraft tracking and data association method based on the orbit uncertainty propagation. The proposed method makes full use of the dynamic information and thus the data association performance is enhanced.
Xingyu Zhou, Shuo Wang, Tong Qin
doaj +1 more source
Use of Association Algorithms in Air Quality Monitoring
Atmosphere, 2023 Over the years, there has been a gradual increase in the emission of pollutants, and it is imperative to establish mechanisms to monitor air quality. In addition to carbon dioxide (CO2), particulate matter (PM) is considered one of the main types of air ...
Paulo Henrique Soares +4 more
doaj +1 more source
High-Density Genotypes of Inbred Mouse Strains: Improved Power and Precision of Association Mapping. [PDF]
, 2015 Human genome-wide association studies have identified thousands of loci associated with disease phenotypes. Genome-wide association studies also have become feasible using rodent models and these have some important advantages over human studies ...
Churchill, Gary A +6 more
core +1 more source
A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation data [PDF]
, 2016 Measurement error in self-reported dietary intakes is known to bias the association between dietary intake and a health outcome of interest such as risk of a disease. The association can be distorted further by mismeasured confounders, leading to invalid
Agogo, GO +11 more
core +3 more sources
Re-mining item associations: methodology and a case study in apparel retailing [PDF]
, 2010 Association mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items.
Atan, Tankut +4 more
core +1 more source
Harnessing feedback region proposals for multi‐object tracking
IET Computer Vision, 2020 In the tracking‐by‐detection approach of online multiple object tracking (MOT), a major challenge is how to associate object detections on the new video frame with previously tracked objects.
Aswathy Prasanna Kumar, Deepak Mishra
doaj +1 more source
Spectral gene set enrichment (SGSE) [PDF]
, 2014 Motivation: Gene set testing is typically performed in a supervised context to quantify the association between groups of genes and a clinical phenotype. In many cases, however, a gene set-based interpretation of genomic data is desired in the absence of
Frost, H. Robert +2 more
core +3 more sources
Quantifying association in ordinal data [PDF]
Journal of Family Planning and Reproductive Health Care, 2010 What is non-parametric correlation? A non-parametric (or ordinal) correlation coefficient for two variables quantifies the extent to which there is, in the study sample, a consistent relationship between the values for the two variables. The correlation coefficient indexes the strength of the relationship found, from zero (no discernible relationship ...
openaire +2 more sources