Turning preferences among 309 white-faced ewes were individually evaluated in an
enclosed, artificially lighted, T-maze, followed by each ewe choosing either a right or left return alley to return to peers. Data recorded ...
Background: One of the challenges in classification of cancer tissue samples based on gene expression data is to establish an effective method that can select a parsimonious set of informative genes. The Top Scoring Pair ...
Identification of splice sites plays a key role in annotation of genes and hence, the improvement of computational prediction of splice sites with high accuracy has great significance. In this article, we first quantitatively ...
Background: Even though the classification of cancer tissue samples based on gene expression data has advanced considerably in recent years, it faces great challenges to improve accuracy. One of the challenges is to establish ...
Expectation-maximization (EM) algorithm has been used to maximize the likelihood function or posterior when the model contains unobserved latent variables. One main important application of EM algorithm is to find the ...