A Pan-Cancer Classification Method Based on Multi-omics Data Integration and Sample Similarity Network

Author:

Bai Lu1ORCID,Zhang Ge1ORCID

Affiliation:

1. School of Computer and Information Engineering, Henan University, China

Publisher

ACM

Reference12 articles.

1. World Health Organization. WHO report on cancer: setting priorities, investing wisely and providing care for all [J]. 2020.

2. omicsGAT: Graph Attention Network for Cancer Subtype Analyses

3. Telonis A G, Magee R, Loher P, Knowledge about the presence or absence of miRNA isoforms (isomiRs) can successfully discriminate amongst 32 TCGA cancer types [J]. Nucleic acids research, 2017, 45(6): 2973-2985.

4. Alhenawi E, Al-Sayyed R, Hudaib A, Feature selection methods on gene expression microarray data for cancer classification: A systematic review [J]. Computers in biology and medicine, 2022, 140: 105051.

5. Abstract 2584: The UCSC Xena system for cancer genomics data visualization and interpretation

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