dig.ipk-gatersleben.de
Data Inspection Group (DIG) @ IPK-Gatersleben | HomepageHomepage, Data Inspection Group, DIG, IPK-Gatersleben, sequence processing, neural networks, structured data analysis
http://dig.ipk-gatersleben.de/
Homepage, Data Inspection Group, DIG, IPK-Gatersleben, sequence processing, neural networks, structured data analysis
http://dig.ipk-gatersleben.de/
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Data Inspection Group (DIG) @ IPK-Gatersleben | Homepage | dig.ipk-gatersleben.de Reviews
https://dig.ipk-gatersleben.de
Homepage, Data Inspection Group, DIG, IPK-Gatersleben, sequence processing, neural networks, structured data analysis
dig.ipk-gatersleben.de
Sortierung hochdimensionaler Daten in Microsoft Excel
http://dig.ipk-gatersleben.de/excelsom/excelsom.html
Sortierung hochdimensionaler Daten in Microsoft Excel. Arbeit entstanden im Rahmen der besonderen Lernleistung. Von Eric Rossa, Europaschule Gymnasium Stephaneum. Zu Aschersleben, 2008/2009. Betreuender Lehrer: Herr Glode. Betreuer am IPK: Herr Strickert. Abb1: Beispiel einer sortierten und eingefärbten Tabelle von Transkriptionsdaten. Weiße Zellen: niedrige Werte; rot: hohe Werte. Oberer Tabellenteil, v.l.n.r.: hochregulierte Kinetik; unterer Teil: herabregulierte Kinetik. Marc Strickert, Mai 2009.
Array-based Genome Comparison of Arabidopsis Ecotypes Using Hidden Markov Models
http://dig.ipk-gatersleben.de/HMMs/ACGH/ACGH.html
Array-based Genome Comparison of Arabidopsis Ecotypes Using Hidden Markov Models. Seifert, M., Banaei, A., Keilwagen, J., Mette, M.F., Houben, A., Roudier, F., Colot, V., Grosse, I., and Strickert, M. (2009): Array-based Genome Comparison of Arabidopsis Ecotypes Using Hidden Markov Models, Biosignals 2009, Porto, Portugal. Talk (Biosignals 2009, Porto, Portugal, January 2009). Paper (Biosignals 2009, Porto, Portugal, January 2009). Talk (Department Seminar 2009). Detection of copy number changes. The Til...
High throughput multi-dimensional scaling (HiT-MDS)
http://dig.ipk-gatersleben.de/hitmds/hitmds.html
High-Throughput Multidimensional Scaling (HiT-MDS). Supplementary information to the paper submitted to German Conference on Bioinformatics (GCB) 2009. CUDA-based multi-core implementation of MDS-based bioinformatics algorithms. Thilo Fester, Falk Schreiber, and Marc Strickert. Fig1: Visualization of HiT-MDS (CUDA version). Left: Gene expression of 4824 genes covering 14 time points, embedded in 3D. Right: Yeast network of 4554 nodes, embedded in 3D from adjacency matrix. Multidimensional scaling ( MDS.
Utilizing promoter pair orientations for HMM-based analysis of ChIP-chip data
http://dig.ipk-gatersleben.de/SHMMs/ChIPchip/ChIPchip.html
Utilizing promoter pair orientations for HMM-based analysis of ChIP-chip data. Supplementary information to our paper: 'Utilizing promoter pair orientations for HMM-based analysis of ChIP-chip data' by Michael Seifert, Jens Keilwagen, Marc Strickert, and Ivo Grosse at the GCB2008 in Dresden. GCB2008 paper (In Proc. of German Conference on Bioinformatics (GCB2008), LNI, Dresden, Germany, September 2008). Arkov Model with scaled transition matrices. ChIPchipAnalyzer: A JAR-file for analyzing ChIP-chip data.
Supervised attribute relevance detection using cross comparison (SARDUX)
http://dig.ipk-gatersleben.de/sardux/sardux.html
Supervised Attribute Relevance Detection using Cross Comparisons (SARDUX). Supplementary information to the paper submitted to ASAI 2009. Towards matrix-based selection of feature pairs for efficient ADMET prediction. Marc Strickert, Axel J. Soto. Jens Keilwagen, and Gustavo E. Vazquez. Fig1: Exemplary relevance matrix of chemical compound attributes. Related to the prediction of the octanol-water partitioning coefficient. Red, yellow, blue indicate high, average, and low importance, respectively. The la...
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Lehrstuhl Medieninformatik
http://mi.informatik.uni-siegen.de/sites/personal.php
Prof Dr. Volker Blanz. Since October 2005, I am leading the research group. Medieninformatik) within the newly founded Institute for Vision and Graphics. At University of Siegen. The focus of my research is in computer graphics, machine vision, machine learning and human perception. I have studied Physics at the University of Tübingen, and worked as a researcher at Max-Planck-Institute for Biological Cybernetics. Tübingen), at ATT Bell Labs and MIT. Saarbrücken / Stanford). Prof Dr. Volker Blanz. And com...
Cookbook - Jstacs
http://www.jstacs.de/index.php/Cookbook
You can also download a PDF version. Jstacs is a joint project of the groups Bioinformatics. And Pattern Recognition and Bioinformatics. At the Institute of Computer Science. Of Martin Luther University Halle-Wittenberg. And the Research Group Data Inspection. At the Leibniz Institute of Plant Genetics and Crop Plant Research. Jstacs is listed in the machine learning open-source software (mloss). The complete API documentation can be found at http:/ www.jstacs.de/api-2.1/. General structure of Jstacs.
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dig in a sentence | simple examples
In A Sentence .org. The best little site that helps you understand word usage with examples. Dig in a sentence. Nice work, I. Use apparently in a sentence. Use biophysics in a sentence. Use ceremonies in a sentence. Use curb in a sentence. Use demolition in a sentence. Use dipstick in a sentence. Use enumerations in a sentence. Use impregnate in a sentence. Use ruler in a sentence. Use tinkered in a sentence. Popular Words This Week. Nice work, I dig.
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Lodging - Home Page
SMART DETECTOR FOR TOXIC GASES. Surface acoustic wave sensor. Welcome on the website of the project:. Smart Detector for Toxic Gases. NATIONAL INSTITUTE FOR R&D LASERS, PLASMA AND RADIATION. Complex research project (PNCDI 2 2007) financed by the. Ministry for Education and Research. Last update: 12.11.2010.
Data Inspection Group (DIG) @ IPK-Gatersleben | Homepage
Research Group Data Inspection. Thilo Fester ( GPU Programming. Michael Scharfe ( HMMs/phylog.trees. Dipl Bioinf. Berit Haldemann ( Documentation. Eric Rossa ( VBA/Excel add-on. Analysis of genomic sequences:. Discriminative motive discovery, ChIP-chip/aCGH signal segmentation. Analysis of gene/protein expression data:. Clustering, classification, biomarker detection. HMM-based analysis of Array-CGH data. Array-based Genome Comparison of Arabidopsis Ecotypes Using Hidden Markov Models [ Homepage.
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