2023年3月14日 · In order to better understand the relationship between normal and neoplastic brain, we combined five publicly available large-scale datasets, correcting for batch effects and applying Uniform...

2025年1月9日 · 宝子们，科研绘图、数据分析老遇到 umap 图？却总感觉一知半解？今天就来彻底搞懂它！ umap 图，全称是统一流形逼近与投影图，是数据降维可视化的神器 它能把复杂的高维数据，巧妙地投影到二维或三维空间，让我…

This data set includes single-cell transcriptomes from multiple cortical areas and the hippocampal formation, including 1.1M total cells. Samples were collected from dissections of brain regions from ~8 week-old male and female mice, from pan-neuronal transgenic lines.

~4 million single-cell transcriptomes from adult mouse brain labeled by source brain region represented by a UMAP (Yao Z. et al. 2023, bioRxiv). What is a UMAP? This is a special type of graph, called a Uniform Manifold Approximation and Projection (UMAP). UMAPs are helpful ways of displaying many types of data and are often referred to as one ...

In this work, we applied Aligned-UMAP on a broad spectrum of clinical, imaging, proteomics, and single-cell datasets. Aligned-UMAP reveals time-dependent hidden patterns when color coded with the metadata.

2024年5月24日 · Principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE) and uniform manifold approximation and projection (UMAP) are among the tools life scientists turn to for...

2023年4月17日 · Researchers used five publicly available large-scale datasets to develop the Brain-UMAP, a reference landscape of healthy and neoplastic brain. The Brain-UMAP, freely accessible on the open-source website Oncoscape, allows researchers to explore and visualize both gene- and pathway-level differences between healthy brains and brains with gliomas.

2023年1月3日 · In order to better understand the relationship between normal and neoplastic brain, we combined five publicly available large-scale datasets, correcting for batch effects and applying Uniform Manifold Approximation and Projection (UMAP) to RNA-seq data. We assembled a reference Brain-UMAP including …

Part 1: understand the basic structure of the data and metadata, and visualize brain region and cell type annotations in a UMAP. [notebooks/10x_snRNASeq_tutorial_part_1.ipynb] Part 2: explore the whole brain data through visualization and analyses of a set

2024年10月19日 · UMAP’s proficiency in preserving data structures helps researchers uncover neural network dynamics and brain region interactions, offering insights into cognitive processes and neurological disorders. A significant application of UMAP in neuroscience involves mapping neural activity patterns.