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Catalina Vallejos (catavallejos)

catavallejos

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Company:MRC Human Genetics Unit (Edinburgh) and @alan-turing-institute

Location:Edinburgh, United Kingdom

Home Page:https://vallejosgroup.github.io

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alan-turing-institute

Catalina Vallejos's repositories

BASiCS

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version

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TutorialBASiCS

This tutorial was created using an old version of BASiCS and its code is outdated. This repository is no longer maintained. For up-to-date documentation, please refer to the vignette available at https://github.com/catavallejos/BASiCS or to https://github.com/catavallejos/BASiCS/wiki.

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UniversitySurvival

Code provided as supplementary material of "Bayesian survival modelling of university outcomes"

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awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

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RMWreg

Accelerated failure times survival regression using Rate Mixtures of Weibull distributions

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ImmuneAging2017

Code for Celia and Nils' immune aging project.

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R2BGLiMS

R wrapper for a Java Bayesian GLM variable selection package

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RegressionBASiCS2017

Analysis code for Nils and Catalina's regression extension

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reproducibility-mimic

Evaluating the reproducibility of mortality prediction studies in the MIMIC-III database

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scater

Clone of the Bioconductor repository for the scater package, see https://bioconductor.org/packages/devel/bioc/html/scater.html for the official development version.

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ShinyCell

Shiny Interactive Web Apps for Single-Cell Data

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SomeSlides

This repository includes some of my conference/workshop/seminar slides

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SupplementaryFiles

This repository includes supplementary files for some of my publications.

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truncnorm

:exclamation: This is a read-only mirror of the CRAN R package repository. truncnorm — Truncated normal distribution

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VallejosAndSteel2017-Ecosta-Supp

R code used to produce the results shown in Vallejos and Steel (2017). Incorporating unobserved heterogeneity in Weibull survival models: A Bayesian approach. Econometrics and Statistics

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winter-school2016

Bioinformatics workshop on Data management, analysis and visualisation

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