Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data

Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data

Nowadays, biomedical data are generated exponentially, creating datasets for analysis with ultra-high dimensionality and complexity. An indicative example is emerging single-cell RNA-sequencing (scRNA-seq) technology, which isolates and measures individual cells. The analysis of scRNA-seq data consi...

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Bibliographic Details
Main Authors: Aristidis G. Vrahatis, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Information
Subjects:
ensemble classification
random projections
big biomedical data
single-cell RNA-seq
high dimensional data
Online Access:https://www.mdpi.com/2078-2489/11/11/502

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https://www.mdpi.com/2078-2489/11/11/502

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