]> BibSonomy publications for /author/Kluger http://www.bibsonomy.org/burst/author/Kluger BibSonomy BuRST Feed for /author/Kluger 2008-07-20T23:35:29+02:00 Die Gehilfin Was ich noch lesen möchtehttp://www.bibsonomy.org/bibtex/23a27ceacbe9c65318b4812c7b76196b8/dhana_kelandry dhana_kelandry 2008-02-06T14:03:06+01:00 Berlin Historisches Medizin Studium
Die Gehilfin
Martin Kluger 432 (2008)
to Berlin Historisches Medizin Studium by dhana_kelandry on 2008-02-06 14:03:06 ]]> 432Die Gehilfin2008Berlin Historisches Medizin Studium 2008-02-06 14:03:06.0Berlin in den Jahren der Gründerzeit: Die kleine Henrietta verlebt ihre Kindheit in der Charite, wo der Vater als Krankenwärter arbeitet. Dort begegnet sie den ambitionierten Forschern Rudolf Virchow und Robert Koch, die sich rührend um die Halbwaise kümmern. Als Erwachsene hegt Henrietta den inständigen Wunsch, Medizin zu studieren, doch plötzlich sind ihr alle Türen verschlossen... Inter- and Intra-Combinatorial Regulation by Transcriptions Factors and MicroRNAs. dblphttp://www.bibsonomy.org/bibtex/28e68de43e203d0adee333a168aa40d99/dblp dblp 2007-12-14T00:00:00+01:00 dblp
Inter- and Intra-Combinatorial Regulation by Transcriptions Factors and MicroRNAs.
Yiming Zhou and John Ferguson and Joseph T. Chang and Yuval Kluger BIOCOMP 598-604 (2007)
to dblp by dblp on 2007-12-14 00:00:00 ]]> BIOCOMPconf/biocomp/2007-2598-604Inter- and Intra-Combinatorial Regulation by Transcriptions Factors and MicroRNAs.2007dblp 2007-12-14 00:00:00.0 Architecture and VLSI Implementation of a programmable HD Real-Time Motion Estimator. dblphttp://www.bibsonomy.org/bibtex/2a42c1b6aec0812ac7b473bf3c2051f5b/dblp dblp 2007-07-16T00:00:00+02:00 dblp
Architecture and VLSI Implementation of a programmable HD Real-Time Motion Estimator.
K. Gaedke and M. Borsum and M. Georgi and A. Kluger and J.-P. Le Glanic and P. Bernard ISCAS 1609-1612 (2007)
to dblp by dblp on 2007-07-16 00:00:00 ]]> ISCASconf/iscas/20071609-1612Architecture and VLSI Implementation of a programmable HD Real-Time Motion Estimator.2007dblp 2007-07-16 00:00:00.0 Spectral Biclustering of Microarray Data: Coclustering Genes and Conditions Spectral Biclustering of Microarray Data: Coclustering Genes and Conditions -- Kluger et al. 13 (4): 703 -- Genome Researchhttp://www.bibsonomy.org/bibtex/2b7a5b33e7c15eee718c667a7553a4f6e/zeno zeno 2007-06-06T15:18:15+02:00 bioinformatics coclustering
Spectral Biclustering of Microarray Data: Coclustering Genes and Conditions
Yuval Kluger and Ronen Basri and Joseph T. Chang and Mark Gerstein Genome Res. 13 703-716 (2003)
to bioinformatics coclustering by zeno on 2007-06-06 15:18:15 ]]> Genome Res.4703-716{Spectral Biclustering of Microarray Data: Coclustering Genes and Conditions}132003bioinformatics coclustering 2007-06-06 15:18:15.0Global analyses of RNA expression levels are useful for classifying genes and overall phenotypes. Often these classification problems are linked, and one wants to find "marker genes" that are differentially expressed in particular sets of "conditions." We have developed a method that simultaneously clusters genes and conditions, finding distinctive "checkerboard" patterns in matrices of gene expression data, if they exist. In a cancer context, these checkerboards correspond to genes that are markedly up- or downregulated in patients with particular types of tumors. Our method, spectral biclustering, is based on the observation that checkerboard structures in matrices of expression data can be found in eigenvectors corresponding to characteristic expression patterns across genes or conditions. In addition, these eigenvectors can be readily identified by commonly used linear algebra approaches, in particular the singular value decomposition (SVD), coupled with closely integrated normalization steps. We present a number of variants of the approach, depending on whether the normalization over genes and conditions is done independently or in a coupled fashion. We then apply spectral biclustering to a selection of publicly available cancer expression data sets, and examine the degree to which the approach is able to identify checkerboard structures. Furthermore, we compare the performance of our biclustering methods against a number of reasonable benchmarks (e.g., direct application of SVD or normalized cuts to raw data). A Bayesian networks approach for predicting protein-protein interactions from genomic data http://www.bibsonomy.org/bibtex/2e2b979e8ececf20369c8d8f3791fb63b/pjotrp pjotrp 2007-01-09T17:36:36+01:00 imported
A Bayesian networks approach for predicting protein-protein interactions from genomic data
Ronald. Jansen and Haiyuan. Yu and Dov. Greenbaum and Yuv al. Kluger and Nevan. J. Krogan and Sambath. Chung and Andrew. Emili and Mi chael. Snyder and Jack. F. Greenblatt and Mark. Gerstein Science 302 449-453 (2003)
to imported by pjotrp on 2007-01-09 17:36:36 ]]> 449.pdfScienceOctEvaluation Studies5644449-453{A Bayesian networks approach for predicting protein-protein interactions from genomic data}3022003imported 2007-01-09 17:36:36.0 Characterizing disease states from topological properties of transcriptional regulatory networks. dblphttp://www.bibsonomy.org/bibtex/2da95d6b54b56d5c4094112e93c3fb201/dblp dblp 2006-05-18T00:00:00+02:00 dblp
Characterizing disease states from topological properties of transcriptional regulatory networks.
David Tuck and Harriet Kluger and Yuval Kluger BMC Bioinformatics 7 236 (2006)
to dblp by dblp on 2006-05-18 00:00:00 ]]> BMC Bioinformatics236Characterizing disease states from topological properties of transcriptional regulatory networks.72006dblp 2006-05-18 00:00:00.0 Unraveling condition specific gene transcriptional regulatory networks in Saccharomyces cerevisiae. dblphttp://www.bibsonomy.org/bibtex/237e16837fd484571f1d510d5eef60998/dblp dblp 2006-05-18T00:00:00+02:00 dblp
Unraveling condition specific gene transcriptional regulatory networks in Saccharomyces cerevisiae.
Hyunsoo Kim and William Hu and Yuval Kluger BMC Bioinformatics 7 165 (2006)
to dblp by dblp on 2006-05-18 00:00:00 ]]> BMC Bioinformatics165Unraveling condition specific gene transcriptional regulatory networks in Saccharomyces cerevisiae.72006dblp 2006-05-18 00:00:00.0 Implementing Multi-Viewer Stereo Displays. dblphttp://www.bibsonomy.org/bibtex/2265758adf99a24030d83408f4943b428/dblp dblp 2005-07-26T00:00:00+02:00 dblp
Implementing Multi-Viewer Stereo Displays.
Bernd Fröhlich and Roland Blach and Oliver Stefani and Jan Hochstrate and Jörg Hoffmann and Karsten Klüger and Matthias Bues WSCG (Full Papers) 139-146 (2005)
to dblp by dblp on 2005-07-26 00:00:00 ]]> WSCG (Full Papers)139-146Implementing Multi-Viewer Stereo Displays.2005dblp 2005-07-26 00:00:00.0 SPINE: an integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics. dblphttp://www.bibsonomy.org/bibtex/28f6ccff34fca2778f5599fb465cd4876/dblp dblp 2003-11-25T00:00:00+01:00 dblp
SPINE: an integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics.
Paul Bertone and Yuval Kluger and Ning Lan and Deyou Zheng and Dinesh Christendat and Adelinda Yee and Aled M. Edwards and Cheryl H. Arrowsmith and Gaetano T. Montelione and Mark Gerstein Nucleic Acids Research 29 2884-2898 (2001)
to dblp by dblp on 2003-11-25 00:00:00 ]]> Nucleic Acids Research132884-2898SPINE: an integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics.292001dblp 2003-11-25 00:00:00.0