Artificial neural networks (ANN's) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In eve...
Obstacle avoidance methods approach the problem of mobile robot autonomous navigation by steering the robot in real-time according to the most recent sensor readings, being suitab...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
Background: The binding of peptide fragments of antigens to class II MHC is a crucial step in initiating a helper T cell immune response. The identification of such peptide epitop...
Background: High throughput sequencing has become an important technology for studying expression levels in many types of genomic, and particularly transcriptomic, data. One key w...
Background: Accurate and sensitive performance evaluation is crucial for both effective development of better structure prediction methods based on sequence similarity, and for th...
Yuan Qi, Ruslan Sadreyev, Yong Wang, Bong-Hyun Kim...