Analysing Capture Seq Count Data
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Updated
Jun 11, 2018 - R
Analysing Capture Seq Count Data
Mortality Rate Prediction based on Age and Cigarette Types in Canada using Generalized Linear Model for Count Data
Poisson-Regression und ihre Leiden
Modeling correlated count data
Infer network from count data within Snakemake using a sparse Poisson lognormal model (PLNnetwork)
Text Statistics For Node Streams
ROSeq - A rank based approach to modeling gene expression with filtered and normalized read count matrix. Takes in the complete filtered and normalized read count matrix, the location of the two sub-populations and the number of cores to be used.
Mixed Poisson Regression for Overdispersed Count Data
📉 JavaScript Text Statistics that counts lines, words, chars, and spaces.
R package for model-based causal discovery for zero-inflated count data
Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)
R/C code for Bayesian variable selection for Dirichlet-multinomial regression models. Accompany paper: Wadsworth et al. (2016). An Integrative Bayesian Dirichlet-Multinomial Regression Model for the Analysis of Taxonomic Abundances in Microbiome data. BMC Bioinformatics 18:94.
Minimal network meta-analysis with BUGS from R.
Analysis of seasonal habitat-use patterns of Aldabra giant tortoises of Aldabra Atoll, Seychelles using temporary emigration models.
R package for flexible univariate count models based on renewal processes
Davis, K. L., Silverman, E. D., Sussman, A. L., Wilson, R. R., Zipkin, E. F. (2022). Errors in aerial survey count data: Identifying pitfalls and solutions. Ecology and Evolution 12:e8733.
Web Programming Class | UPN Veteran Jatim | Website-Bot Register for Robotics community | Final Project
Semiparametric and parametric estimation and bootstrapping of integer-valued autoregressive (INAR) models.
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