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Joint Lp-Norm and L(2,1)-Norm Constrained Graph Laplacian PCA for Robust Tumor Sample Clustering and Gene Network Module Discovery

The dimensionality reduction method accompanied by different norm constraints plays an important role in mining useful information from large-scale gene expression data. In this article, a novel method named Lp-norm and L(2,1)-norm constrained graph Laplacian principal component analysis (PL21GPCA)...

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書目詳細資料
發表在:Front Genet
Main Authors: Kong, Xiang-Zhen, Song, Yu, Liu, Jin-Xing, Zheng, Chun-Hou, Yuan, Sha-Sha, Wang, Juan, Dai, Ling-Yun
格式: Artigo
語言:Inglês
出版: Frontiers Media S.A. 2021
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC7940841/
https://ncbi.nlm.nih.gov/pubmed/33708239
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2021.621317
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