Statistical Significance of Threading Scores

Statistical Significance of Tree Similarity Scores

New methodologies for performing pairwise tree-matching on carbohydrate sugar chain data were introduced in [3], in which well-known sequence alignment algorithms [12] were extended and an already known polynomial-time graph algorithm for finding the maximum common subtree (MCST) of two trees [7] was used to implement what is called the KEGG Carbohydrate Matcher, or KCaM. These new methodologie...

Statistical significance of protein structure prediction by threading.

In this study, we estimate the statistical significance of structure prediction by threading. We introduce a single parameter epsilon that serves as a universal measure determining the probability that the best alignment is indeed a native-like analog. Parameter epsilon takes into account both length and composition of the query sequence and the number of decoys in threading simulation. It can ...

Statistical and Practical Significance of Articles at Sports Biomechanics Conferences

Background. The importance of using statistical approaches has increased and became necessary for researchers and specialists in sports biomechanics because they need more objective and accurate methods to increase knowledge. Objectives. Evaluate the reality of using practical significance in the articles published in scientific conferences in the biomechanical sport. Methods. One hundred twe...

Statistical significance and clinical significance.

Significance Analysis of Microarrays using Rank Scores

The Significance Analysis of Microarrays (SAM) software is a very practical tool for detecting significantly expressed genes and controlling the proportion of falsely detected genes, the False Discovery Rate (FDR). However, SAM tends to find biased estimates of the FDR. We show that the same method with the data replaced by rank scores does not have this tendency. We discuss the choice of the r...