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conclus

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ScRNA-seq Workflow CONCLUS - From CONsensus CLUSters To A Meaningful CONCLUSion

v1.6.0 · GPL-3

Release Lineage

Entered 3.13 · May 20, 2021

Removed after 3.16 · Nov 2, 2022

1.0 In 4 of 49 releases 3.23

Description

CONCLUS is a tool for robust clustering and positive marker features selection of single-cell RNA-seq (sc-RNA-seq) datasets. It takes advantage of a consensus clustering approach that greatly simplify sc-RNA-seq data analysis for the user. Of note, CONCLUS does not cover the preprocessing steps of sequencing files obtained following next-generation sequencing. CONCLUS is organized into the following steps: Generation of multiple t-SNE plots with a range of parameters including different selection of genes extracted from PCA. Use the Density-based spatial clustering of applications with noise (DBSCAN) algorithm for idenfication of clusters in each generated t-SNE plot. All DBSCAN results are combined into a cell similarity matrix. The cell similarity matrix is used to define "CONSENSUS" clusters conserved accross the previously defined clustering solutions. Identify marker genes for each concensus cluster.

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citation("conclus")
Rachedi, I., Descostes, N., Lancrin, C., & Pavlovich, P. (2022). conclus: ScRNA-seq Workflow CONCLUS - From CONsensus CLUSters To A Meaningful CONCLUSion (Version 1.6.0) [Computer software]. https://bioconductor.org/packages/conclus

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APA

Balamuta, J. J. (2026). R Observatory: Metrics for conclus version 1.6.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

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