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GEMLeR - Gene Expression Machine Learning Repository

GEMLeR - Gene Expression Machine Learning Repository. GEMLeR - Gene Expression Machine Learning Repository. Provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC curve, etc.) for classification, feature selection or clustering algorithms. Repository by International Genomics Consortium. Although there are various other s...

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GEMLeR - Gene Expression Machine Learning Repository | gemler.fzv.uni-mb.si Reviews
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GEMLeR - Gene Expression Machine Learning Repository. GEMLeR - Gene Expression Machine Learning Repository. Provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC curve, etc.) for classification, feature selection or clustering algorithms. Repository by International Genomics Consortium. Although there are various other s...
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GEMLeR - Gene Expression Machine Learning Repository | gemler.fzv.uni-mb.si Reviews

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GEMLeR - Gene Expression Machine Learning Repository. GEMLeR - Gene Expression Machine Learning Repository. Provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC curve, etc.) for classification, feature selection or clustering algorithms. Repository by International Genomics Consortium. Although there are various other s...

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GEMLeR - Gene Expression Machine Learning Repository

http://gemler.fzv.uni-mb.si/tools.php

GEMLeR - Gene Expression Machine Learning Repository. GEMLeR - Gene Expression Machine Learning Repository. List of Machine Learning / Data Mining tools supporting GEMLeR file formats:. Http:/ www.bioconductor.org. Http:/ www.ggobi.org. Http:/ www.ailab.si/orange. Http:/ cran.r-project.org. Http:/ eric.univ./en/tanagra.html. Http:/ www.cs.waikato.ac.nz/ml/weka. For an extensive overview of the current machine learning / data mining tools we reccomend the following papers:.

2

GEMLeR - Gene Expression Machine Learning Repository

http://gemler.fzv.uni-mb.si/about.php

GEMLeR - Gene Expression Machine Learning Repository. GEMLeR - Gene Expression Machine Learning Repository. Breast (344 samples),. Each dataset can be obtained in "short" or "full" size. Datasets in "short" format contain 20% of genes with the highest variance across all samples. Unsupervised highest variance filter was chosen to avoid so called "selection bias". This way genes with practically constant signal were eliminated to allow faster computation times and lower memory requirements. Compare two sp...

3

GEMLeR - Gene Expression Machine Learning Repository

http://gemler.fzv.uni-mb.si/formats.php

GEMLeR - Gene Expression Machine Learning Repository. GEMLeR - Gene Expression Machine Learning Repository. GEMLeR datsets are available in two file formats suitable for various machine learning tools. This section shortly describes both file formats that are supported by GEMLeR. ARFF (Weka, Orange, YALE, Tanagra, .). ARFF is a default file format of WEKA machine learning tool. It was later adopted as a possible input format to many other machine learning tools like Orange, YALE, Tanagra, etc. CSV is a c...

4

GEMLeR - Gene Expression Machine Learning Repository

http://gemler.fzv.uni-mb.si/results.php

GEMLeR - Gene Expression Machine Learning Repository. GEMLeR - Gene Expression Machine Learning Repository. This section presents the results of a small benchmarking experiment that provides initial classification accuracy values for GEMLeR datasets. Evaluation (feature selection classification) was done inside 10-fold cross-validation loop on all 45 GEMLeR datasets to avoid so called selection bias (Ambroise and McLachlan, 2002):. NOTE: Average accuracy is used only for ilustrational purposes. When ...

5

GEMLeR - Gene Expression Machine Learning Repository

http://gemler.fzv.uni-mb.si/download.php

GEMLeR - Gene Expression Machine Learning Repository. GEMLeR - Gene Expression Machine Learning Repository. All GEMLeR datsets are available as compressed .zip archives. GEMLeR v1.0 (Released 10th October 2008):. GEMLeR ARFF short.zip. 9 OVA 36 AP datasets, ARFF format, 706 MB). GEMLeR CSV short.zip. 9 OVA 36 AP datasets, CSV format, 688 MB). Both archives contain the following:. Num Class1 / Num. Class2. AP Breast Colon.arff. AP Breast Kidney.arff. AP Breast Lung.arff. AP Breast Omentum.arff. GEMLeR FUL...

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Research Institute, Faculty of Health Sciences, University of Maribor

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Research Institute, Faculty of Health Sciences, University of Maribor. Research Institute, Faculty of Health Sciences, University of Maribor. Miljenko Krizmaric, Mateja Verlic, Gregor Stiglic, Stefek Grmec, Peter Kokol, "Intelligent analysis in predicting outcome of out-of-hospital cardiac arrest". Computer Methods and Programs in Biomedicine, Elsevier, In Press. [LINK]. Gregor Stiglic, Juan J. Rodriguez, Peter Kokol, "Feature Selection and Classification for Small Gene Sets". Gregor Stiglic, Nawaz Khan,...

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Research Institute, Faculty of Health Sciences, University of Maribor

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Research Institute, Faculty of Health Sciences, University of Maribor. Research Institute, Faculty of Health Sciences, University of Maribor. All research activities at Faculty of Health Sciences are coordinated through Research Institute. The Institute initiates research projects on a wide range of topics ranging from nursing care to bioinformatics. Main focus of research carried out at Research Institue is on:. Intelligent systems in medical informatics. Data mining in medicine and nursing research.

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Research Institute, Faculty of Health Sciences, University of Maribor

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Research Institute, Faculty of Health Sciences, University of Maribor. Research Institute, Faculty of Health Sciences, University of Maribor. Faculty of Health Sciences. Tel: 386 2 300 4700. Fax: 386 2 300 4747. Research Institute, Faculty of Health Sciences.

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GEMLeR - Gene Expression Machine Learning Repository

GEMLeR - Gene Expression Machine Learning Repository. GEMLeR - Gene Expression Machine Learning Repository. Provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC curve, etc.) for classification, feature selection or clustering algorithms. Repository by International Genomics Consortium. Although there are various other s...

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