2020-10-19 14:04:21 UTC; Sebastian Weirich

2021-02-09 10:21:51 UTC; Sebastian Weirich

2021-07-06 14:52:14 UTC; Sebastian Weirich

2021-08-11 08:40:37 UTC; Sebastian Weirich

2021-11-10 11:00:58 UTC; Sebastian Weirich

2022-05-05 10:31:00 UTC; Sebastian Weirich

2022-06-28 13:54:36 UTC; Sebastian Weirich

2022-11-10 15:45:45 UTC; Sebastian Weirich

Genotyping using Next Generation Sequencing Data
Na You <youn@mail.sysu.edu.cn> and Gongyi Huang<huanggyi@mail2.sysu.edu.cn>
Genotyping the population using next generation sequencing data is essentially important for the rare variant detection. In order to distinguish the genomic structural variation from sequencing error, we propose a statistical model which involves the genotype effect through a latent variable to depict the distribution of non-reference allele frequency data among different samples and different genome loci, while decomposing the sequencing error into sample effect and positional effect. An ECM algorithm is implemented to estimate the model parameters, and then the genotypes and SNPs are inferred based on the empirical Bayes method.

Genotyping and SNP Detection using Next Generation Sequencing
Data
Na You <youn@mail.sysu.edu.cn> and Gongyi Huang<53hgy@163.com>

Genotyping and SNP calling using single-sample next generation
sequencing data
Genotyping and SNP calling tool for single-sample next generation sequencing data analysis using an empirical Bayes method.

person(given = "Florian", family = "Wickelmaier",
role = c("aut", "cre"), email = "wickelmaier@web.de")
Fitting and testing multi-attribute probabilistic choice
models, especially the Bradley-Terry-Luce (BTL) model (Bradley &
Terry, 1952 <doi:10.1093/biomet/39.3-4.324>; Luce, 1959),
elimination-by-aspects (EBA) models (Tversky, 1972 <doi:10.1037/h0032955>),
and preference tree (Pretree) models (Tversky & Sattath, 1979
<doi:10.1037/0033-295X.86.6.542>).

Fitting and testing probabilistic choice models,
especially the BTL model (Bradley & Terry, 1952; Luce, 1959),
elimination-by-aspects (EBA) models (Tversky, 1972),
and preference tree (Pretree) models (Tversky & Sattath, 1979).