Identification of Interpretable Clusters and Associated Signatures in Breast Cancer Single-Cell Data: A Topic Modeling Approach
Topic modeling is a popular technique in machine learning and natural language processing, where a corpus of text documents is classified into themes or topics using word frequency analysis. This approach has proven successful in various biological data analysis applications, such as predicting canc...
Main Authors: | Gabriele Malagoli, Filippo Valle, Emmanuel Barillot, Michele Caselle, Loredana Martignetti |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
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Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/16/7/1350 |
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