Stepwise: Stepwise Classification of Cancer Samples using Clinical and Molecular Data
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A Novel Scheme for Improving Accuracy of KNN Classification Algorithm Based on the New Weighting Technique and Stepwise Feature Selection
K nearest neighbor algorithm is one of the most frequently used techniques in data mining for its integrity and performance. Though the KNN algorithm is highly effective in many cases, it has some essential deficiencies, which affects the classification accuracy of the algorithm. First, the effectiveness of the algorithm is affected by redundant and irrelevant features. Furthermore, this algori...
متن کاملStepwise classification of cancer samples using clinical and molecular data Additional file
where ρ is the correlation between x1 and x2. For each random number we sample ρ from the uniform distribution (0, 0.5). We set this correlation range because we want to illustrate the performance of the indirect mapping in a setting of low correlation between the two data types. In order to represent noisy data types we added independent standard Gaussian noise to both x1 and x2. We treat x1 a...
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This vignette shows the use of the stepwiseCM package for the integrative analysis of two heterogeneous data sets. For more detailed information on the algorithm and assumptions we refer to the article (Obulkasim et al, 2011) and its supplementary material. Throughout this vignette we use low dimensional clinical covariates and high-dimensional molecular data (gene expression) to illustrate the...
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This paper presents the R/Bioconductor package stepwiseCM, which classifies cancer samples using two heterogeneous data sets in an efficient way. The algorithm is able to capture the distinct classification power of two given data types without actually combining them. This package suits for classification problems where two different types of data sets on the same samples are available. One of...
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In this study, the associations between ISSR markers with some agronomic traits in 22 ispaghula ecotypes were used by stepwise regression analysis. The results of stepwise regression analysis showed a significant association between traits and some of loci markers positions. For some traits was detected more than one informative marker. Totally 90 informative ISSR markers were revealed that due...
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