Computational principles and challenges in single-cell data integration

R Argelaguet, ASE Cuomo, O Stegle… - Nature biotechnology, 2021 - nature.com
The development of single-cell multimodal assays provides a powerful tool for investigating
multiple dimensions of cellular heterogeneity, enabling new insights into development …

Eleven grand challenges in single-cell data science

D Lähnemann, J Köster, E Szczurek, DJ McCarthy… - Genome biology, 2020 - Springer
The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …

Current best practices in single‐cell RNA‐seq analysis: a tutorial

MD Luecken, FJ Theis - Molecular systems biology, 2019 - embopress.org
Single‐cell RNA‐seq has enabled gene expression to be studied at an unprecedented
resolution. The promise of this technology is attracting a growing user base for single‐cell …

MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data

R Argelaguet, D Arnol, D Bredikhin, Y Deloro, B Velten… - Genome biology, 2020 - Springer
Technological advances have enabled the profiling of multiple molecular layers at single-
cell resolution, assaying cells from multiple samples or conditions. Consequently, there is a …

Orchestrating single-cell analysis with Bioconductor

RA Amezquita, ATL Lun, E Becht, VJ Carey… - Nature …, 2020 - nature.com
Recent technological advancements have enabled the profiling of a large number of
genome-wide features in individual cells. However, single-cell data present unique …

Transcriptional basis of mouse and human dendritic cell heterogeneity

CC Brown, H Gudjonson, Y Pritykin, D Deep… - Cell, 2019 - cell.com
Dendritic cells (DCs) play a critical role in orchestrating adaptive immune responses due to
their unique ability to initiate T cell responses and direct their differentiation into effector …

SCANPY: large-scale single-cell gene expression data analysis

FA Wolf, P Angerer, FJ Theis - Genome biology, 2018 - Springer
Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes
methods for preprocessing, visualization, clustering, pseudotime and trajectory inference …

Characterization of cell fate probabilities in single-cell data with Palantir

M Setty, V Kiseliovas, J Levine, A Gayoso… - Nature …, 2019 - nature.com
Single-cell RNA sequencing studies of differentiating systems have raised fundamental
questions regarding the discrete versus continuous nature of both differentiation and cell …

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

R Argelaguet, B Velten, D Arnol, S Dietrich… - Molecular systems …, 2018 - embopress.org
Multi‐omics studies promise the improved characterization of biological processes across
molecular layers. However, methods for the unsupervised integration of the resulting …

[HTML][HTML] Lymphatics act as a signaling hub to regulate intestinal stem cell activity

RE Niec, T Chu, M Schernthanner, S Gur-Cohen… - Cell stem cell, 2022 - cell.com
Barrier epithelia depend upon resident stem cells for homeostasis, defense, and repair.
Epithelial stem cells of small and large intestines (ISCs) respond to their local …