High-performance sparse data representation and manipulation in R
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Updated
May 12, 2024 - C
High-performance sparse data representation and manipulation in R
Copy number calling and variant classification using targeted short read sequencing
Tuberculosis Gene Expression Data for Machine Learning
Integrative Bulk and Single-Cell Experiment Container
R-package - Automated Evaluation of Precursor Ion Purity for Mass Spectrometry Based Fragmentation in Metabolomics
Repositório para apresentação de código, datasets e posterior análise, desenvolvido pelo grupo 5 para a UC Extração de Conhecimento de Dados Biológicos, do Mestraddo em Bioinformática, ano lectivo 23-24.
Profile RNA-seq data using published TB gene signatures
A unified framework for working transparently with on-disk and in-memory array-like datasets
Custom landing page for iSEE and the Bioconductor ExperimentHub
Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
Rapid standardisation and quality control of GWAS or QTL summary statistics
Bioconductor package for management of multi-assay data
R-side access to published microbial signatures from BugSigDB
Single Cell multimodal data scripts for downloading datasets
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