Healthy soils provide a wide range of ecosystem services. But soil erosion (one component
of land degradation) jeopardizes the sustainable delivery of these services worldwide, and …

Independent component analysis (ICA) is a matrix factorization approach where the signals
captured by each individual matrix factors are optimized to become as mutually independent …

Underlying cellular responses is a transcriptional regulatory network (TRN) that modulates
gene expression. A useful description of the TRN would decompose the transcriptome into …

Extracting relevant information from large-scale data offers unprecedented opportunities in
cancerology. We applied independent component analysis (ICA) to bladder cancer …

Introduction Systemic lupus erythematosus (SLE) is a T and B cell-dependent autoimmune
disease characterized by the appearance of autoantibodies, a global regulatory T cells …

Motivation: Microarrays are capable of determining the expression levels of thousands of
genes simultaneously. One important application of gene expression data is classification of …

To identify candidate genes involved in Arabidopsis flavonoid biosynthesis, we applied
transcriptome coexpression analysis and independent component analyses with 1388 …

Tumor clustering is becoming a powerful method in cancer class discovery. Nonnegative
matrix factorization (NMF) has shown advantages over other conventional clustering …

The quantity of mRNA transcripts in a cell is determined by a complex interplay of
cooperative and counteracting biological processes. Independent Component Analysis …

As public microarray repositories rapidly accumulate gene expression data, these resources
contain increasingly valuable information about cellular processes in human biology. This …