Thrilled to make the cover of @natimmunol.nature.com this month.

A version of this warhol-inspired image has been in my head almost since we first conceived this Tfh diversity project (many, many years ago) @wehi-research.bsky.social

🌐 mastR is available on #Bioconductor! Install and explore its comprehensive documentation:
bioconductor.org/packages/rel...
12/12

🧠 Beyond marker identification, mastR provides tools for marker evaluation against reference datasets. This helps assess how well your discovered markers perform in independent datasets. #ReproducibleResearch #ValidationStudies
11/12

📊 Visualization capabilities in mastR help researchers validate their findings. You can easily generate plots showing expression patterns of identified markers across conditions and samples. #DataVisualization #RStats
10/12

🔎 mastR's approach is especially valuable when working with:

- Sorted cell populations
- FACS-isolated cells
- Purified tissue samples
- Controlled experimental conditions
Its methods explicitly account for cellular context! #CellularBiology #ExperimentalDesign
9/12

🧪 How to use mastR in your workflow:
davislaboratory.github.io/mastR/
#RStats #Bioconductor
8/12

💻 mastR isn't limited to bulk RNA-seq! The developers demonstrated its utility on simulated scRNA-seq data and compared its marker selection performance favourably against #Seurat, a leading scRNA-seq analysis tool. #singlecell #versatility 7/12

📈 In validation studies, mastR-derived NK cell signatures performed as well if not better than published curated signatures - showing the power of its automated approach over manual curation. #immunology #CellBiology 6/12

🔬 A key innovation in mastR: its signal-to-noise ratio approach specifically designed to minimize background signals! This leads to markers with higher specificity and reliability. #biomarkerDiscovery #RNAseq 5/12

💡 At its core, mastR leverages robust statistical pipelines including #edgeR and #limma to perform pairwise comparisons between groups, then aggregates results using a rank-product-based permutation test. #statistics #bioinformatics 4/12

📊 mastR was developed to overcome key limitations in current approaches:

1. Manual curation requirements
2. Arbitrary statistical thresholds
3. Failure to account for tissue background expression
These issues can significantly impact biomarker quality! #DataScience #genomics
3/12

🔍 While many marker identification methods focus on single-cell data (#scRNAseq), mastR addresses a critical need: automated methods for labeled bulk RNA-seq data from sorted cell populations or controlled experiments. #bioinformatics #biomarkers 2/12

#mastR, a powerful #Bioconductor package for biomarker discovery in transcriptomic data! This innovative tool bridges existing gaps in marker gene identification. Join me for this #tweetorial on why it matters. #bioinformatics #RNAseq 1/12

Congratulations to the crew @bhuvad.bsky.social , Ahmed mohamad and Melissa Davis.

Long time coming! Congratulations🎊 and proud and honoured to be part if this amazing team and work.