-
Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
In this article, we consider the sparse tensor singular value decomposition, which aims for dimension reduction on high-dimensional high-order data with certain sparsity... -
Risk-conscious correction of batch effects: maximising information extraction...
Background Batch effects are a persistent and pervasive form of measurement noise which undermine the scientific utility of high-throughput genomic datasets. At their most... -
Prioritization, clustering and functional annotation of MicroRNAs using laten...
Background The amount of scientific information about MicroRNAs (miRNAs) is growing exponentially, making it difficult for researchers to interpret experimental results. In this...