Merge pull request #5 from spectre-team/develop

Remove legacy code

README.md

@@ -4,53 +4,25 @@
 
 Spectre is a versatile tool used for analysis of MALDI-MSI data sets.
 
-For the sake of simplicity, the toolset provided is available to be used
-through web application interface, which is currently a work-in-progress.
-
 In order to build and run the application, please refer to the
 [installation](#install) section.
 
 ## About
 
-The project is currently in its early stage. However, it comprises the
-implementation of our own spectra modelling based on Gaussian Mixture Models,
-and Divisive IK-means algorithm for unsupervised segmentation, which can be
-used for efficient dataset compression, as well as for knowledge discovery.
-Aformentioned algorithms have already been published and refering links
-have been enclosed under [references](#references) section.
-
-Also, several classification and clusterization methods will be provided soon,
-along with supporting statistics.
+This is a desktop client for the Divisive IK-means algorithm for unsupervised
+segmentation, which can be used for efficient dataset compression, as
+well as knowledge discovery. It has already been published and
+referring links have been enclosed under the [references](#references) section.
 
 ## Install
 
-### DiviK local client
-
 Please refer to [this manual](docs/Spectre.DivikWpfClient.pdf), as MATLAB
 Common Runtime has to be installed.
 
-### Spectre service & web application
-
-The Web service is all the time available [here](http://vaei-bit01.aei.polsl.pl/).
-If you still would like to host it yourself, please contact us by
-[e-mail](mailto:[email protected]). We will provide you with exhaustive
-explanation.
-
 ## Exemplary usage
 
-### DiviK local client
-
 Please refer to [docs](docs/Spectre.DivikWpfClient.pdf).
 
-### Spectre service & web application
-
-The application is available online [here](http://vaei-bit01.aei.polsl.pl/).
-
-Right now, our web application allows only for an interactive visualization
-of some of the data we were using in the research, along with Divisive
-Intelligent K-means algorithm results. More features will get documented
-when they appear.
-
 ## How to contribute?
 
 Please contact us by [e-mail](mailto:[email protected]). We will answer
@@ -70,31 +42,21 @@ This software is part of contribution made by [Data Mining Group of Silesian
 University of Technology](http://www.zaed.polsl.pl/), rest of which is
 published [here](https://github.com/ZAEDPolSl).
 
-+ [Marczyk M, Polanska J, Polanski A: Comparison of Algorithms for Profile-Based
-Alignment of Low Resolution MALDI-ToF Spectra. In Advances in Intelligent
-Systems and Computing, Vol. 242 of Man-Machine Interactions 3, Gruca A,
-Czachorski T, Kozielski S, editors. Springer Berlin Heidelberg 2014, p. 193-201
-(ISBN: 978-3-319-02308-3), ICMMI 2013, 22-25.10.2013 Brenna, Poland][1]
 + [P. Widlak, G. Mrukwa, M. Kalinowska, M. Pietrowska, M. Chekan, J. Wierzgon, M.
 Gawin, G. Drazek and J. Polanska, "Detection of molecular signatures of oral
 squamous cell carcinoma and normal epithelium - application of a novel
 methodology for unsupervised segmentation of imaging mass spectrometry data,"
-Proteomics, vol. 16, no. 11-12, pp. 1613-21, 2016][2]
+Proteomics, vol. 16, no. 11-12, pp. 1613-21, 2016][1]
 + [M. Pietrowska, H. C. Diehl, G. Mrukwa, M. Kalinowska-Herok, M. Gawin, M.
 Chekan, J. Elm, G. Drazek, A. Krawczyk, D. Lange, H. E. Meyer, J. Polanska, C.
 Henkel, P. Widlak, "Molecular profiles of thyroid cancer subtypes:
 Classification based on features of tissue revealed by mass spectrometry
-imaging," Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics, 2016][3]
+imaging," Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics, 2016][2]
 + [G. Mrukwa, G. Drazek, M. Pietrowska, P. Widlak and J. Polanska, "A Novel
 Divisive iK-Means Algorithm with Region-Driven Feature Selection as a Tool for
 Automated Detection of Tumour Heterogeneity in MALDI IMS Experiments," in
-International Conference on Bioinformatics and Biomedical Engineering, 2016][4]
-+ [A. Polanski, M. Marczyk, M. Pietrowska, P. Widlak and J. Polanska, "Signal
-partitioning algorithm for highly efficient Gaussian mixture modeling in mass
-spectrometry," PloS one, vol. 10, no. 7, p. e0134256, 2015][5]
-
-[1]: http://link.springer.com/chapter/10.1007/978-3-319-02309-0_20
-[2]: http://onlinelibrary.wiley.com/doi/10.1002/pmic.201500458/pdf
-[3]: http://www.sciencedirect.com/science/article/pii/S1570963916302175
-[4]: http://link.springer.com/chapter/10.1007/978-3-319-31744-1_11
-[5]: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0134256
+International Conference on Bioinformatics and Biomedical Engineering, 2016][3]
+
+[1]: http://onlinelibrary.wiley.com/doi/10.1002/pmic.201500458/pdf
+[2]: http://www.sciencedirect.com/science/article/pii/S1570963916302175
+[3]: http://link.springer.com/chapter/10.1007/978-3-319-31744-1_11