Background: Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole cellular genome...
Bahrad A. Sokhansanj, J. Patrick Fitch, Judy N. Qu...
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
We discuss the role of spatial representations and visual geometries in vision-based navigation. To a large extent, these choices determine the complexity and robustness of a given...
: In biological sequence analysis, position specific scoring matrices (PSSMs) are widely used to represent sequence motifs. In this paper, we present a new nonheuristic algorithm, ...
Michael Beckstette, Dirk Strothmann, Robert Homann...