Search Results for "ls-svm"

Grassroots DiCoM is a C++ library for DICOM medical files. It is accessible from Python, C#, Java and PHP. It supports RAW, JPEG, JPEG 2000, JPEG-LS, RLE and deflated transfer syntax. It comes with a super fast scanner implementation to quickly scan hundreds of DICOM files. It supports SCU network operations (C-ECHO, C-FIND, C-STORE, C-MOVE). PS 3.3 & 3.6 are distributed as XML files. It also provides PS 3.15 certificates and password based mecanism to anonymize and de-identify DICOM datasets.

A set of java programs that extract coordinate and chemical information from PDB files. The binding site regions are extracted using grid based scheme. For binding site, spatio-chemical descriptor is generated based on PocketMatch algorithm of Dr. Kalidas (author of this project too).

MSqBAT is a freely-available all-platform software application for label-free quantification of proteins from LS-MS data. It was developed in the lab of Dr. Christoph Rösli at the Heidelberg Institude for Stem Cells and Experimental Medicine (HI-STEM) and the German Cancer Research Center (DKFZ). It’s main features are 1) Label-free, MS1-based quantification 2) Support both LC-MALDI-MS- as well as LC-ESI-MS data 3) Supports both GeLC-MALDI-MS- and GeLC-ESI-MS data 4) Convenient, graphical user interface Acknowledgements The development of MSqBAT is kindly supported by YourKit Java Profiler.

GA/SVM for feature selection in microarraydata

...Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text. The method is based on SVM but other ML algorithms can be adopted. The method details are explained in the following paper: Ehsan Emadzadeh, Azadeh Nikfarjam, and Graciela Gonzalez. 2011. Double Layered Learning for Biological Event Extraction from Text. In Proceedings of the BioNLP 2011 Workshop Companion Volume for Shared Task, Portland, Oregon, June. ...

Feating constructs a classification ensemble comprising a set of local models. It is effective at reducing the error of both stable and unstable learners, including SVM. For details see the paper at http://dx.doi.org/10.1007/s10994-010-5224-5.

Spectre for mass spectrometry. (Quantitiave) analysis of multiple ls-ms(ms) runs, using mzXML import of raw data. (working on mzDATA). Provides filters, alignment- and export tools.

The JAQPOT3 web services are OpenTox API-1.2 compliant web services. JAQPOT3 is a web application that supports model training and data preprocessing algorithms such as MLR, SVM, ANN and more.