Article

A topic modelling analysis of TCGA breast and lung cancer transcriptomic data

2020-10-21

Abstract excerpt

Topic modelling 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 modelling strategies has been introduced to overcome some of the limitations of classical methods. This paper applies...

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Literature Corpus work: 3eeec8f4-0669-5df3-b435-b3c0a17106dd
DOI: 10.1101/2020.10.19.345694

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