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Toward a foundation model of causal cell and tissue biology with a Perturbation Cell and Tissue Atlas
JE Rood, A Hupalowska, A Regev - Cell, 2024 - cell.com
Comprehensively charting the biologically causal circuits that govern the phenotypic space
of human cells has often been viewed as an insurmountable challenge. However, in the last …
of human cells has often been viewed as an insurmountable challenge. However, in the last …
Optimal transport for single-cell and spatial omics
High-throughput single-cell profiling provides an unprecedented ability to uncover the
molecular states of millions of cells. These technologies are, however, destructive to cells …
molecular states of millions of cells. These technologies are, however, destructive to cells …
Diverse clonal fates emerge upon drug treatment of homogeneous cancer cells
Even among genetically identical cancer cells, resistance to therapy frequently emerges
from a small subset of those cells,,,,,–. Molecular differences in rare individual cells in the …
from a small subset of those cells,,,,,–. Molecular differences in rare individual cells in the …
Learning single-cell perturbation responses using neural optimal transport
Understanding and predicting molecular responses in single cells upon chemical, genetic or
mechanical perturbations is a core question in biology. Obtaining single-cell measurements …
mechanical perturbations is a core question in biology. Obtaining single-cell measurements …
High-resolution genome-wide map** of chromosome-arm-scale truncations induced by CRISPR–Cas9 editing
Clustered regularly interspaced short palindromic repeats (CRISPR)–CRISPR-associated
protein 9 (Cas9) is a powerful tool for introducing targeted mutations in DNA, but recent …
protein 9 (Cas9) is a powerful tool for introducing targeted mutations in DNA, but recent …
Learning causal representations of single cells via sparse mechanism shift modeling
Latent variable models such as the Variational Auto-Encoder (VAE) have become a go-to
tool for analyzing biological data, especially in the field of single-cell genomics. One …
tool for analyzing biological data, especially in the field of single-cell genomics. One …
Statistical inference with a manifold-constrained RNA velocity model uncovers cell cycle speed modulations
Across biological systems, cells undergo coordinated changes in gene expression, resulting
in transcriptome dynamics that unfold within a low-dimensional manifold. While low …
in transcriptome dynamics that unfold within a low-dimensional manifold. While low …
[HTML][HTML] A mini-review on perturbation modelling across single-cell omic modalities
GI Gavriilidis, V Vasileiou, A Orfanou, N Ishaque… - Computational and …, 2024 - Elsevier
Recent advances in single-cell omics technology have transformed the landscape of cellular
and molecular research, enriching the scope and intricacy of cellular characterisation …
and molecular research, enriching the scope and intricacy of cellular characterisation …
Pooled genome-scale CRISPR screens in single cells
Assigning functions to genes and learning how to control their expression are part of the
foundation of cell biology and therapeutic development. An efficient and unbiased method to …
foundation of cell biology and therapeutic development. An efficient and unbiased method to …
Small data methods in omics: the power of one
Over the last decade, biology has begun utilizing 'big data'approaches, resulting in large,
comprehensive atlases in modalities ranging from transcriptomics to neural connectomics …
comprehensive atlases in modalities ranging from transcriptomics to neural connectomics …