Design of Clinical Trials for Treatment of Pain, Development of Clinical Trials, Selected Qualitative Methods, Within-Patient Studies: Cross-over Trials & n-of-1 Studies, Clinical Economics, etc.
Abstract
One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as
evidence of structural and functional conservation, as well as of evolutionary relations among the sequences. Since
the degree of similarity is usually assessed by the sequence alignment score, it is necessary to know if a score is high
enough to indicate a biologically interesting alignment. A powerful approach to defining score cutoffs is based on the
evaluation of the statistical significance of alignments. The statistical significance of an alignment score is frequently
assessed by its P-value, which is the probability that this score or a higher one can occur simply by chance, given the
probabilistic models for the sequences. In this review we discuss the general role of P-value estimation in sequence
analysis, and give a description of theoretical methods and computational approaches to the estimation of statistical
signifiance for important classes of sequence analysis problems. In particular, we concentrate on the P-value estimation
techniques for single sequence studies (both score-based and score-free), global and local pairwise sequence
alignments, multiple alignments, sequence-to-profile alignments and alignments built with hidden Markov models.
We anticipate that the review will be useful both to. researchers professionally working in bioinformatics as well as
to biomedical scientists interested in using contemporary methods of DNA and protein sequence analysis.
A successful one-week short course on Complex Systems Beyond the Metaphor: Your Mathematical Toolset was held in the UNSW School of Mathematics and Statistics on Feb 5-9, 2007. It introduced the mathematical foundations and tools needed for a solid understanding of complex systems, an area often known for purely metaphorical or 'hand-waving' explanations. Aiming at a mathematically literate audience (e.g. engineers, quantitative biologists, computer modellers), leading Australian experts presented intensive introductions to the essential topics of complex systems theory, including self-organization, nonlinear dynamical systems, cellular automata, networks and statistical learning.
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform, and open source C++ library aimed to help robotics researchers to design and implement algorithms (mainly) in the fields of Simultaneous Localization and Mapping (SLAM), computer
A. Dinner, S. So, and M. Karplus. COMPUTATIONAL METHODS FOR PROTEIN FOLDING, volume 120 of ADVANCES IN CHEMICAL PHYSICS, JOHN WILEY & SONS INC, 605 3RD AVE, NEW YORK, NY 10016 USA, (2002)