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csl: publications/csl/elife.csl
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# Bioconductor Packages
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::::::::::::::::::::::::::::::::: software-container
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# Our Computational Tools {.page-title}
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::: {.lead .text-center .mb-5}
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We develop open-source software for genomic data analysis, with a focus on cancer research and single-cell methods.
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:::
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::::::::::::::::::::::: software-grid
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::::::: {.software-card .fade-in}
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::: software-icon
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![Corral Package](contents/hexstickers/corral_sticker.png)
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:::
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::::: software-info
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## Corral
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![](contents/hexstickers/corral_sticker.png){width="200"}
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Single-cell RNA-seq dimension reduction, batch integration, and visualization with correspondence analysis.
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::: software-links
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[Bioconductor](https://bioconductor.org/){.btn .btn-primary .btn-sm} [GitHub](https://github.com/){.btn .btn-secondary .btn-sm}
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:::
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::: software-publications
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#### Publications
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Publications include [@Hsu2023; @Lê2021; @hsu2020]
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- [@Hsu2023]
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- [@Lê2021]
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- [@hsu2020]
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:::
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:::::
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:::::::
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::::::: {.software-card .fade-in}
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::: software-icon
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![MOGSA Package](contents/hexstickers/mogsa_sticker.png)
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:::
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::::: software-info
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## MOGSA
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![](contents/hexstickers/mogsa_sticker.png){width="200"}
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Multi-Omics Gene Set Analysis: Integrative analysis of multiple experimental and molecular data types.
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::: software-links
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[Bioconductor](https://bioconductor.org/){.btn .btn-primary .btn-sm} [GitHub](https://github.com/){.btn .btn-secondary .btn-sm}
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:::
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::: software-publications
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#### Publications
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- [@Meng2016]
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- [@Meng2019]
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- [@Meng2014]
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- [@Meng2016a]
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- [@Lê2021]
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:::
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:::::
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:::::::
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::::::: {.software-card .fade-in}
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::: software-icon
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![iBBiG Package](https://raw.githubusercontent.com/Bioconductor/BiocStickers/master/iBBiG/iBBiG.png)
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:::
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::::: software-info
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## iBBiG
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Iterative Binary Bi-clustering of Gene Sets for biclustering and pattern discovery in gene expression data.
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::: software-links
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[Bioconductor](https://bioconductor.org/){.btn .btn-primary .btn-sm} [GitHub](https://github.com/){.btn .btn-secondary .btn-sm}
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:::
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::: software-publications
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#### Publications
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- [@gusenleitner2012]
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::::::: {.software-card .fade-in}
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::: software-icon
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![made4 Package](https://raw.githubusercontent.com/Bioconductor/BiocStickers/master/made4/made4.png)
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:::
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::::: software-info
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## made4
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Publications [@Meng2016; @Meng2019; @Meng2014; @Meng2016a; @Lê2021]
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Multivariate Analysis of Microarray Data using ADE4 for visualization and analysis of microarray data.
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### iBBiG
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::: software-links
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[Bioconductor](https://bioconductor.org/){.btn .btn-primary .btn-sm} [GitHub](https://github.com/){.btn .btn-secondary .btn-sm}
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:::
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@gusenleitner2012; @gusenleitner2012
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::: software-publications
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#### Publications
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### Omicade4
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- [@Culhane2005]
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@Meng2014
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:::::::::: {.mt-5 .workshops-section .fade-in}
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## Workshops & Training Materials
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### made4
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::::::::: card-deck
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:::: card
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::: card-body
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### Hitchhiker's Guide to PCA
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@Culhane2005
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A comprehensive tutorial on Principal Component Analysis for genomic data.
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# Hackathon
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[View Workshop](#){.btn .btn-primary}
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::::
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BIRSBiointegration.
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:::: card
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::: card-body
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### Quick Guide to scRNAseq
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- Datasets and code (link)
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Introduction to single-cell RNA sequencing analysis methods.
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- The hackathon is described in @Lê2021
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[View Workshop](#){.btn .btn-primary}
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::::
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# Workshops
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:::: card
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::: card-body
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### BIRSBiointegration Hackathon
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Hitchhikers Guide to PCA
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Datasets and code from our multi-omics integration hackathon.
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Quick guide to scRNAseq
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[Explore Hackathon](#){.btn .btn-primary}
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