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Literature DB >> 15358614

VizRank: finding informative data projections in functional genomics by machine learning.

Gregor Leban¹, Ivan Bratko, Uros Petrovic, Tomaz Curk, Blaz Zupan.

Abstract

UNLABELLED: VizRank is a tool that finds interesting two-dimensional projections of class-labeled data. When applied to multi-dimensional functional genomics datasets, VizRank can systematically find relevant biological patterns. AVAILABILITY: http://www.ailab.si/supp/bi-vizrank SUPPLEMENTARY INFORMATION: http://www.ailab.si/supp/bi-vizrank.

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Year: 2004 PMID： 15358614 DOI： 10.1093/bioinformatics/bti016

Source DB: PubMed Journal: Bioinformatics ISSN： 1367-4803 Impact factor: 6.937

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Cited

8 in total

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4. Multiclass cancer classification based on gene expression comparison.

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5. Visualization-aided classification ensembles discriminate lung adenocarcinoma and squamous cell carcinoma samples using their gene expression profiles.

Authors: Ao Zhang; Chi Wang; Shiji Wang; Liang Li; Zhongmin Liu; Suyan Tian
Journal: PLoS One Date: 2014-10-15 Impact factor: 3.240

VizRank: finding informative data projections in functional genomics by machine learning.

1. Similarity-dissimilarity plot for visualization of high dimensional data in biomedical pattern classification.

2. 3D similarity-dissimilarity plot for high dimensional data visualization in the context of biomedical pattern classification.

3. Coevolution of the hepatitis C virus polyprotein sites in patients on combined pegylated interferon and ribavirin therapy.

4. Multiclass cancer classification based on gene expression comparison.

5. Visualization-aided classification ensembles discriminate lung adenocarcinoma and squamous cell carcinoma samples using their gene expression profiles.

6. Classification and survival prediction for early-stage lung adenocarcinoma and squamous cell carcinoma patients.

7. Hands-on training about overfitting.

8. Classification of Non-Small Cell Lung Cancer Using Significance Analysis of Microarray-Gene Set Reduction Algorithm.