Article

NMFNA: a non-negative matrix factorization network analysis method for identifying communities and characteristic genes from pancreatic cancer data

2020-12-10

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Pancreatic cancer (PC) is a common type of digestive system disease. Comprehensive analysis of different types of PC genetic data plays a crucial role in understanding its biological mechanisms. Currently, Non-negative Matrix Factorization (NMF) based methods are widely used for data analysis. Nevertheless, it is a challenge for them to integrate and decompose d...

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Literature Corpus work: 60f55bf3-ad65-5709-acbf-c10be572589a
DOI: 10.21203/rs.3.rs-47997/v2

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