Vol. 16, No. 5 Robust and Efficient Biomolecular Clustering of Tumor Based on p -Norm Singular Value Decomposition
High dimensionality has become a typical feature of biomolecular data. In this paper, a novel dimension reduction method named p-norm singular value decomposition (PSVD) is proposed to seek the low-rank approximation matrix to the biomolecular data.
Vol. 15, No. 6 Block-Constraint Robust Principal Component Analysis and its Application to Integrated Analysis of TCGA Data
The Cancer Genome Atlas (TCGA) dataset provides us more opportunities to systematically and comprehensively learn some biological mechanism of cancers formation, growth and metastasis.