Results 61 to 70 of about 26,597,943 (299)
Negative binomial mixed models for analyzing microbiome count data
BMC Bioinformatics, 2017 Recent advances in next-generation sequencing (NGS) technology enable researchers to collect a large volume of metagenomic sequencing data. These data provide valuable resources for investigating interactions between the microbiome and host environmental/
Xinyan Zhang +6 more
semanticscholar +1 more source
Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy +5 more
wiley +1 more source
Generational Differences in Household Car Ownership
Journal of Sustainable Development of Energy, Water and Environment Systems, 2021 The stagnation of car demand had been observed in many countries. A similar phenomenon had emerged in Taiwan. From the perspective of socio-demographic characteristics, this study employs quantile regression for count data to investigate generational ...
Wen-Hsiu Huang, Ming-Che Chao
doaj +1 more source
DEBrowser: interactive differential expression analysis and visualization tool for count data
BMC Genomics, 2018 Sequencing data has become a standard measure of diverse cellular activities. For example, gene expression is accurately measured by RNA sequencing (RNA-Seq) libraries, protein-DNA interactions are captured by chromatin immunoprecipitation sequencing ...
Alper Kucukural +4 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Hemoglobinopathies are prevalent globally; diagnosis is complex in high genetic admixture populations like Brazil. We report, in two pediatric siblings, the first documented cases in Brazil of heterozygosity for hemoglobin (Hb) O‐Arab with coinheritance of α‐thalassemia (αα/−α4.2; −α3.7/−α4.2), resulting in microcytic and hypochromic anemia ...
Elisângela de Souza Miranda Muynarsk +9 more
wiley +1 more source
good: An R package for modelling count data
Methods in Ecology and EvolutionOrganisms‐related data often appear as counts. The Poisson distribution is the most popular choice for modelling count data, but this distribution assumes equidispersion, which is usually not satisfied in real‐world data.
David Agis +4 more
doaj +1 more source
Naught all zeros in sequence count data are the same
bioRxiv, 2018 Due to the advent and utility of high-throughput sequencing, modern biomedical research abounds with multivariate count data. Yet such sequence count data is often extremely sparse; that is, much of the data is zero values.
J. Silverman +3 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.Abstract Background A routine baseline echocardiogram is often obtained prior to anthracycline administration in children with cancer. The utility of baseline echocardiogram is unclear in patients with standard risk B‐cell acute lymphoblastic leukemia (SR B‐ALL) as their anthracycline cumulative dose is low.
Ziyad Alrajhi +4 more
wiley +1 more source
Discriminant analysis involving count data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2023 A situation giving rise to a violation of the normality assumption in discriminant analysis is that which involves count observations. For a two-variable case involving count observations, this paper presents a new discriminant analysis approach when ...
George Chinanu Mbaeyi +1 more
doaj
Predictive Model Assessment for Count Data [PDF]
Biometrics, 2009 SummaryWe discuss tools for the evaluation of probabilistic forecasts and the critique of statistical models for count data. Our proposals include a nonrandomized version of the probability integral transform, marginal calibration diagrams, and proper scoring rules, such as the predictive deviance.
Czado, C, Gneiting, T, Held, L
openaire +3 more sources