Challenges in unsupervised clustering of single-cell RNA-seq data

VY Kiselev, TS Andrews, M Hemberg - Nature Reviews Genetics, 2019 - nature.com
Single-cell RNA sequencing (scRNA-seq) allows researchers to collect large catalogues
detailing the transcriptomes of individual cells. Unsupervised clustering is of central …

[PDF][PDF] The emergence and influence of internal states

SW Flavell, N Gogolla, M Lovett-Barron, M Zelikowsky - Neuron, 2022 - cell.com
Animal behavior is shaped by a variety of" internal states"—partially hidden variables that
profoundly shape perception, cognition, and action. The neural basis of internal states, such …

Identification of functional heterogeneity of carcinoma-associated fibroblasts with distinct IL6-mediated therapy resistance in pancreatic cancer

KM McAndrews, Y Chen, JK Darpolor, X Zheng… - Cancer discovery, 2022 - AACR
The tumor microenvironment in pancreatic ductal adenocarcinoma (PDAC) involves a
significant accumulation of fibroblasts as part of the host response to cancer. Using single …

[HTML][HTML] HypoMap—a unified single-cell gene expression atlas of the murine hypothalamus

L Steuernagel, BYH Lam, P Klemm, GKC Dowsett… - Nature …, 2022 - nature.com
The hypothalamus plays a key role in coordinating fundamental body functions. Despite
recent progress in single-cell technologies, a unified catalog and molecular characterization …

Understanding how dimension reduction tools work: an empirical approach to deciphering t-SNE, UMAP, TriMAP, and PaCMAP for data visualization

Y Wang, H Huang, C Rudin, Y Shaposhnik - Journal of Machine Learning …, 2021 - jmlr.org
Dimension reduction (DR) techniques such as t-SNE, UMAP, and TriMap have
demonstrated impressive visualization performance on many real-world datasets. One …

Single-cell transcriptomic profiling of the aging mouse brain

M Ximerakis, SL Lipnick, BT Innes, SK Simmons… - Nature …, 2019 - nature.com
The mammalian brain is complex, with multiple cell types performing a variety of diverse
functions, but exactly how each cell type is affected in aging remains largely unknown. Here …

Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region

JR Moffitt, D Bambah-Mukku, SW Eichhorn, E Vaughn… - Science, 2018 - science.org
INTRODUCTION A mechanistic understanding of brain function requires the identification of
distinct cell types in the brain at a molecular, spatial, and functional level. The preoptic …

Umap: Uniform manifold approximation and projection for dimension reduction

L McInnes, J Healy, J Melville - arXiv preprint arXiv:1802.03426, 2018 - arxiv.org
UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning
technique for dimension reduction. UMAP is constructed from a theoretical framework based …

[HTML][HTML] Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease

M Piwecka, N Rajewsky, A Rybak-Wolf - Nature Reviews Neurology, 2023 - nature.com
In the past decade, single-cell technologies have proliferated and improved from their
technically challenging beginnings to become common laboratory methods capable of …

[HTML][HTML] Shared and distinct transcriptomic cell types across neocortical areas

B Tasic, Z Yao, LT Graybuck, KA Smith, TN Nguyen… - Nature, 2018 - nature.com
The neocortex contains a multitude of cell types that are segregated into layers and
functionally distinct areas. To investigate the diversity of cell types across the mouse …