Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
The assessment of the reliability of clusters discovered in bio-molecular data is a central issue in several bioinformatics problems. Several methods based on the concept of stabil...
Visualization and differentiation of proteins in tissue are problems of increasing interest in computational systems biology, bioinformatics, and image processing. A platform for ...
Betsy Williams, Shannon Cornett, Benoit M. Dawant,...
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...
Wavefront algorithms, such as the Smith-Waterman algorithm, are commonly used in bioinformatics for exact local and global sequence alignment. These algorithms are highly computat...