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SegMine methodology

SegMine methodology for gene expression data analysis

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SegMine methodology | orange4ws.ijs.si Reviews
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SegMine methodology for gene expression data analysis
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SegMine methodology | orange4ws.ijs.si Reviews

https://orange4ws.ijs.si

SegMine methodology for gene expression data analysis

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SegMine methodology

http://orange4ws.ijs.si/easy_start

Get started with SegMine. For an easy start see below the demo videos. The first video demostrates an analytical workflow which consists of generating the semantic rules with SEGS which followed by visualisation with BioMine. The second video demonstrates a similar analytical workflow which also allows for the creation of novel research hypotheses by using BioMine's link discovery engine on selected gene sets. SegMine for metabolomics is under development. Version 0.7.2 is out! Of the Academy of Finland.

2

SegMine methodology

http://orange4ws.ijs.si/download

Download and install SegMine. SegMine is available under GPL licence (the same as Orange and Orange4WS). It is developed on Linux, and works on Linux, Windows, and Mac (not yet tested on Mac). SegMine is implemented as a collection of widgets for Orange4WS, so it requires a working Orange4WS. Environment. We provide binary installers for Orange4WS, SegMine and ZSI (ZSI is required for Orange4WS). Full Orange installer is also provided. Windows systems (XP, Vista, 7):. Orange installation from source.

3

SegMine methodology

http://orange4ws.ijs.si/publications

Here is a list of publications which are related to the SegMine methodology, its components (the SEGS algorithm, the Biomine system, etc.). and applications. Mozetič, I., Lavrač, N., Podpečan, V., Kralj Novak, P., Motaln, H., Petek, M., Gruden, K., Toivonen, H., Kulovesi, K. Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis, In Bisociative Knowledge Discovery. MR Berthold, Ed.), Springer (LNAI 7250), pp. 379-389, 2012. [ pdf. 13, 119 (2012). [ pdf. Mozetič, I., Lavrač...

4

SegMine methodology

http://orange4ws.ijs.si/use_cases

Here is an interview about the SegMine methodology with dr. Helena Motaln. From Department of Genetic Toxicology and Cancer Biology. National Institute of Biology. Ljubljana, Slovenia. She shares her opinion on using SegMine in expert data analysis and comments its abilities. We present an example of analysis performed using SegMine. Two datasets were included: the acute lymphoblastic leukemia (ALL) dataset ( Chiaretti et al., 2004. And Schallmoser et al., 2010. Rule discovery using the SEGS algorithm.

5

SegMine methodology

http://orange4ws.ijs.si/manual

Currently, we provide descrtiptions of analytical features of SegMine (i.e., SegMine workflow components) and video tutorials. Together with use case documentation and installation instruction we hope this is enough to get started with SegMine. Add logFC to graph. Microarray parser widget performs three functions:. Parses the input data, recognizes values in rows and columns, treats missing values as specified and performs syntax check,. MicroarrayTable [type: orange.ExampleTable]. Cutoff widget removes ...

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SegMine methodology

http://segmine.ijs.si/download

Download and install SegMine. SegMine is available under GPL licence (the same as Orange and Orange4WS). It is developed on Linux, and works on Linux, Windows, and Mac (not yet tested on Mac). SegMine is implemented as a collection of widgets for Orange4WS, so it requires a working Orange4WS. Environment. We provide binary installers for Orange4WS, SegMine and ZSI (ZSI is required for Orange4WS). Full Orange installer is also provided. Windows systems (XP, Vista, 7):. Orange installation from source.

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SegMine is a powerful methodology for semantic analysis of transcriptomic data. It offers improved hypothesis generation and data interpretation for life scientists. SegMine employs semantic subgroup discovery to construct elaborate rules which identify enriched gene sets, and link discovery for the creation and visualization of new biological hypotheses. When completed, we will stop developing the current implementation in Orange4WS, and only bug fixes will be provided. Version 0.7.2 is out!

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