Article ; Online: L
Computational biology and chemistry
2020 Volume 89, Page(s) 107368
Abstract: ... the robustness of ELM, in this paper, a novel ELM method based on L ...
Abstract | With the development of cancer research, various gene expression datasets containing cancer information show an explosive growth trend. In addition, due to the continuous maturity of single-cell RNA sequencing (scRNA-seq) technology, the protein information and pedigree information of a single cell are also continuously mined. It is a technical problem of how to classify these high-dimensional data correctly. In recent years, Extreme Learning Machine (ELM) has been widely used in the field of supervised learning and unsupervised learning. However, the traditional ELM does not consider the robustness of the method. To improve the robustness of ELM, in this paper, a novel ELM method based on L |
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MeSH term(s) | Algorithms ; Databases, Nucleic Acid/statistics & numerical data ; Humans ; Machine Learning ; Neoplasms/classification |
Language | English |
Publishing date | 2020-09-01 |
Publishing country | England |
Document type | Journal Article |
ISSN | 1476-928X |
ISSN (online) | 1476-928X |
DOI | 10.1016/j.compbiolchem.2020.107368 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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