Neuropsychiatric disorders such as schizophrenia, bipolar disorder and Alzheimer's disease
are major public health problems. However, despite decades of research, we currently have …

Mining matrices to find relevant biclusters, subsets of rows exhibiting a coherent pattern over
a subset of columns, is a critical task for a wide-set of biomedical and social applications …

Background Biclustering, the discovery of sets of objects with a coherent pattern across a
subset of conditions, is a critical task to study a wide-set of biomedical problems, where …

Biclustering, the simultaneous clustering of rows and columns of a data matrix, has proved
its effectiveness in bioinformatics due to its capacity to produce local instead of global …

Discriminative patterns can provide valuable insights into data sets with class labels, that
may not be available from the individual features or the predictive models built using them …

Background Biclustering is a critical task for biomedical applications. Order-preserving
biclusters, submatrices where the values of rows induce the same linear ordering across …

Co-regulation is a common phenomenon in gene expression. Finding positively and
negatively co-regulated gene clusters from gene expression data is a real need. Existing …

Genes can participate in multiple biological processes at a time and thus their expression
can be seen as a composition of the contributions from the active processes. Biclustering …

We introduce a multidimensional multiblock clustering (MDMBC) algorithm in this paper.
MDMBC can generate overlapping clusters with similar values along clusters of dimensions …

Directional features have been successfully used for the recognition of both machine-printed
and handwritten Kanji characters for the last decade. This paper attempts to explain why the …