Results 1 to 10 of about 3,673 (98)

Data-based RNA-seq simulations by binomial thinning [PDF]

BMC Bioinformatics, 2020
Background With the explosion in the number of methods designed to analyze bulk and single-cell RNA-seq data, there is a growing need for approaches that assess and compare these methods.
David Gerard
doaj   +2 more sources

Not every gene is special: Modelling scale controls the false discovery rate when analysing high-throughput sequencing data. [PDF]

PLoS Computational Biology
Differential expression/abundance analyses are commonplace in studies employing high-throughput sequencing (HTS); however different tools often fail to return comparable results when applied to the same dataset.
Scott J Dos Santos, Andreea C Murariu, Justin D Silverman, Gregory B Gloor   +3 more
doaj   +2 more sources

ZOTMPo–INAR(1) Process: Entropy and Modeling of Epidemiological Count Time Series Data [PDF]

Entropy
In this article, we propose a first-order integer-valued autoregressive (INAR(1)) model based on binomial thinning, in which the innovation sequence follows a zero–one–two-modified Poisson (ZOTMPo) distribution.
Manik Awale, Shrirang Pund, Hassan S. Bakouch, Aishwarya Ghodake, Amira F. Daghestani, Souha K. Badr   +5 more
doaj   +2 more sources

Hemodynamic Induction of Intracranial Aneurysms via Bilateral Common Carotid Artery Ligation in Rabbits: A Systematic Review and Meta-Analysis [PDF]

Medical Sciences
Background/Objectives: The rabbit bilateral common carotid artery ligation (BCCAL) model is utilized to simulate hemodynamically driven intracranial aneurysm formation.
Laurentiu Andrei Blaj, Victor Ianole, Andrei Ionut Cucu, Bogdan-Ionel Tamba, Gabriela-Dumitrita Stanciu, Mihaela Dana Turliuc   +5 more
doaj   +2 more sources

A deep learning representation and spatial Bayesian cell-type deconvolution for spatial transcriptomics [PDF]

PeerJ
Background Spatial transcriptomics provides unprecedented insights into gene expression in the spatial context of tissues; however, some mainstream techniques lack quantitative analysis of uncertainty.
Xiao Yang, Yanbin Feng, Yanfang Zhao, Huamei Li, Xiaozhou Chen   +4 more
doaj   +3 more sources

The Negative Binomial INAR(1) Process Under Different Thinning Processes: Can We Separate Between the Different Models?

Stats
The literature on discrete valued time series is expanding very fast. Very often we see new models with very similar properties to the existing ones.
Naushad Mamode Khan, Dimitris Karlis, Yuvraj Sunecher   +2 more
exaly   +3 more sources

A New Generalized Binomial Thinning-Based INAR(1) Process With Poisson–Lindley Innovations

Statistical Theory and Related Fields
This paper considers a new parameterization of the generalized binomial thinning operator that is to be incorporated in a simple ordered integer-valued autoregressive process (INAR(1)) with the Poisson–Lindley innovations.
Veena D'Cruz, Irshad M R, Naushad Mamode Khan   +2 more
exaly   +3 more sources

Binomial Thinning Integer-Valued AR (1) with Poisson – α Fold Zero Modified Geometric Innovations [PDF]

Journal of Sciences, Islamic Republic of Iran, 2022
Real count data time series often show the phenomenon of the overdispersion. In this paper, we introduce the first-order integer-valued autoregressive process.
Maryam Shalbaf, Gholamali Parham, Rahim Chinipardaz   +2 more
doaj   +1 more source

Bivariate Poisson 2Sum-Lindley Distributions and the Associated BINAR(1) Processes

Mathematics, 2022
Discrete-valued time series modeling has witnessed numerous bivariate first-order integer-valued autoregressive process or BINAR(1) processes based on binomial thinning and different innovation distributions.
Muhammed Rasheed Irshad, Christophe Chesneau, Veena D’cruz, Naushad Mamode Khan, Radhakumari Maya   +4 more
doaj   +1 more source

Coherent Forecasting for a Mixed Integer-Valued Time Series Model

Mathematics, 2022
In commerce, economics, engineering and the sciences, quantitative methods based on statistical models for forecasting are very useful tools for prediction and decision.
Wooi Chen Khoo, Seng Huat Ong, Biswas Atanu   +2 more
doaj   +1 more source