A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic Data
Topic modeling is a widely used technique to extract relevant information from large arrays of data. The problem of finding a topic structure in a dataset was recently recognized to be analogous to the community detection problem in network theory. Leveraging on this analogy, a new class of topic mo...
Main Authors: | Filippo Valle, Matteo Osella, Michele Caselle |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
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Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/12/12/3799 |
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