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Deep Learning Book Chinese Translation
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
Exercises for the Deep Learning textbook at www.deeplearningbook.org
Specifications of SAM/BAM and related high-throughput sequencing file formats
hemberg-lab / scRNA.seq.course
Forked from rstudio/bookdown-demoAnalysis of single cell RNA-seq data course
An opinionated view of the Tidyverse "dialect" of the R language.
Formalizing and benchmarking open problems in single-cell genomics
Ultrafast de novo assembly for long noisy reads (though having no consensus step)
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
An Introduction to Applied Bioinformatics, 2nd Edition
R 语言数据科学导论 | Data Science Introduction with R
Repository for Introduction to Data Science Book
"Orchestrating Spatial Transcriptomics Analysis with Bioconductor" (OSTA) online book
Using R and Bioconductor packages for the analysis and comprehension of proteomics data.
An 8 page guide to starting with R - Tidyverse Edition
Reproducible pipeline for "Comprehensive evaluation of cell-type quantification methods for immuno-oncology", Sturm et al. 2019, https://doi.org/10.1093/bioinformatics/btz363
The MetaRbolomics book. A review of R packages in BioC, CRAN, gitlab and github.
Based on their genomic data types and goals, this course will help learners find educational resources and tools to help them process and interpret data.
The mlr3 quarto website and accomanying R package.
R package for extracting turn-interactive measures from tabular conversation data.
Repo for Sequencing 16S rRNA gene fragments using the PacBio SMRT DNA sequencing system
Introduction to Machine Learning for Biology (Workshop @ D-BSSE Retreat 2019)
A review of tools for analysing single-cell RNA-seq data