Multicellular factor analysis of single-cell data for a tissue-centric understanding of disease
Biomedical single-cell atlases describe disease at the cellular level. However, analysis of
this data commonly focuses on cell-type-centric pairwise cross-condition comparisons …
this data commonly focuses on cell-type-centric pairwise cross-condition comparisons …
Panpipes: a pipeline for multiomic single-cell data analysis
Single-cell multiomic analysis of the epigenome, transcriptome and proteome allows for
comprehensive characterisation of the molecular circuitry that underpins cell identity, cell …
comprehensive characterisation of the molecular circuitry that underpins cell identity, cell …
Human cross-tissue cell atlases: unprecedented resources towards systematic understanding of physiology and diseases
Recently, three landmark cross-tissue single-cell atlases were published in Science, by the
Tabula Sapiens Consortium, 1 Eraslan et al., 2 and Domínguez Conde et al., 3 respectively …
Tabula Sapiens Consortium, 1 Eraslan et al., 2 and Domínguez Conde et al., 3 respectively …
scFeatures: Multi-view representations of single-cell and spatial data for disease outcome prediction
Motivation With the recent surge of large-cohort scale single cell research, it is of critical
importance that analytical methods can fully utilize the comprehensive characterization of …
importance that analytical methods can fully utilize the comprehensive characterization of …
Multidimensional Single-Cell analyses in organ development and maintenance
Y Zhang, F Liu - Trends in cell biology, 2019 - cell.com
The revolution of single-cell analysis tools in epigenomics, transcriptomics, lineage tracing,
and transcriptome-scale RNA imaging, has boosted our understanding of the underlying …
and transcriptome-scale RNA imaging, has boosted our understanding of the underlying …
Defining human cardiac transcription factor hierarchies using integrated single-cell heterogeneity analysis
Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have become a
powerful tool for human disease modeling and therapeutic testing. However, their use …
powerful tool for human disease modeling and therapeutic testing. However, their use …
[HTML][HTML] Statistical single cell multi-omics integration
M Colomé-Tatché, FJ Theis - Current Opinion in Systems Biology, 2018 - Elsevier
Single cell high throughput genomic measurements are revolutionizing the fields of biology
and medicine, providing a means to tackle biological problems that have thus far been …
and medicine, providing a means to tackle biological problems that have thus far been …
Elucidation of biological networks across complex diseases using single-cell omics
Single-cell multimodal omics (scMulti-omics) technologies have made it possible to trace
cellular lineages during differentiation and to identify new cell types in heterogeneous cell …
cellular lineages during differentiation and to identify new cell types in heterogeneous cell …
The trifecta of single-cell, systems-biology, and machine-learning approaches
TM Weiskittel, C Correia, GT Yu, CY Ung… - Genes, 2021 - mdpi.com
Together, single-cell technologies and systems biology have been used to investigate
previously unanswerable questions in biomedicine with unparalleled detail. Despite these …
previously unanswerable questions in biomedicine with unparalleled detail. Despite these …
[PDF][PDF] Integrated single-cell analysis maps the continuous regulatory landscape of human hematopoietic differentiation
Human hematopoiesis involves cellular differentiation of multipotent cells into progressively
more lineage-restricted states. While the chromatin accessibility landscape of this process …
more lineage-restricted states. While the chromatin accessibility landscape of this process …