High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis

High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis

Quantifying or labeling the sample type with high quality is a challenging task, which is a key step for understanding complex diseases. Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering an...

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Bibliographic Details
Main Authors: Hui Tang, Tao Zeng, Luonan Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-04-01
Series:Frontiers in Genetics
Subjects:
high–order
integration
clustering
single-cell
bulk data analysis
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00371/full

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