UMAP visualization of the same fine-resolution PBMC dataset with Fig 14 but in different random seed, with true annotated labels and k-means clustering labels by different FS methods.

UMAP visualization of the same fine-resolution PBMC dataset with <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012560#pcbi.1012560.g014" target="_blank">Fig 14</a> but in different random seed, with true annotated labels and k-means clustering labels by different FS methods.

Publication Details

Journal: Figshare
Published: 2024-10-28
DOI: https://doi.org/10.1371/journal.pcbi.1012560.s022
Primary Topic: Data Visualization and Analytics
Type: article
Field-Weighted Citation Impact: 0.00

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article

UMAP visualization of the same fine-resolution PBMC dataset with Fig 14 but in different random seed, with true annotated labels and k-means clustering labels by different FS methods.

Oct 28, 2024

Figshare

Data Visualization and Analytics

article

UMAP visualization of the same fine-resolution PBMC dataset with Fig 14 but in different random seed, with true annotated labels and k-means clustering labels by different FS methods.

October 28, 2024article en

Abstract

Figshare

Openalex Percentile: Top 68%

Data Visualization and Analytics

DOI Source OpenAlex

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UMAP visualization of the same fine-resolution PBMC dataset with Fig 14 but in different random seed, with true annotated labels and k-means clustering labels by different FS methods. · Figshare (2024) | TGRS Research Map | TGRS

UMAP visualization of the same fine-resolution PBMC dataset with Fig 14 but in different random seed, with true annotated labels and &lt;i&gt;k&lt;/i&gt;-means clustering labels by different FS methods.

Publication Details

UMAP visualization of the same fine-resolution PBMC dataset with Fig 14 but in different random seed, with true annotated labels and k-means clustering labels by different FS methods.

UMAP visualization of the same fine-resolution PBMC dataset with Fig 14 but in different random seed, with true annotated labels and k-means clustering labels by different FS methods.

Abstract

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

UMAP visualization of the same fine-resolution PBMC dataset with Fig 14 but in different random seed, with true annotated labels and <i>k</i>-means clustering labels by different FS methods.