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Rainer Spang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Constantin Bannert, Marc Rehmsmeier, Rainer Spang, Jens Stoye
    Sequence Database Search Using Jumping Alignments. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 2001, pp:142- [Conf]
  2. Tobias Müller, Rainer Spang, Martin Vingron
    A new method for modeling protein evolution. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1999, pp:2-8 [Conf]
  3. Rainer Spang, Carrie Blanchette, Harry Zuzan, Jeffrey R. Marks, Joseph Nevins, Mike West
    Prediction and uncertainty in the analysis of gene expression profiles. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 2001, pp:102-111 [Conf]
  4. Rainer Spang, Martin Vingron
    Statistics of large scale sequence searching. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1997, pp:33-35 [Conf]
  5. Dennis Kostka, Rainer Spang
    Finding disease specific alterations in the co-expression of genes. [Citation Graph (0, 0)][DBLP]
    ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:194-199 [Conf]
  6. Rainer Spang, Marc Rehmsmeier, Jens Stoye
    Sequence Database Search Using Jumping Alignments. [Citation Graph (0, 0)][DBLP]
    ISMB, 2000, pp:367-375 [Conf]
  7. Stefanie Scheid, Rainer Spang
    Permutation Filtering: A Novel Concept for Significance Analysis of Large-Scale Genomic Data. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2006, pp:338-347 [Conf]
  8. Claudio Lottaz, Rainer Spang
    Molecular decomposition of complex clinical phenotypes using biologically structured analysis of microarray data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:9, pp:1971-1978 [Journal]
  9. Florian Markowetz, Jacques Bloch, Rainer Spang
    Non-transcriptional pathway features reconstructed from secondary effects of RNA interference. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:21, pp:4026-4032 [Journal]
  10. Stefanie Scheid, Rainer Spang
    twilight; a Bioconductor package for estimating the local false discovery rate. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:12, pp:2921-2922 [Journal]
  11. Rainer Spang, Martin Vingron
    Limits of homology detection by pairwise sequence comparison. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:4, pp:338-342 [Journal]
  12. Rainer Spang, Martin Vingron
    Statistics of large-scale sequence searching. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 1998, v:14, n:3, pp:279-284 [Journal]
  13. Claudio Lottaz, Xinan Yang, Stefanie Scheid, Rainer Spang
    OrderedList - a bioconductor package for detecting similarity in ordered gene lists. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:18, pp:2315-2316 [Journal]
  14. Claudio Lottaz, Rainer Spang
    stam - a Bioconductor compliant R package for structured analysis of microarray data. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:211- [Journal]
  15. Rainer Spang, Carrie Blanchette, Harry Zuzan, Jeffrey R. Marks, Joseph Nevins, Mike West
    Prediction and uncertainty in the analysis of gene expression profiles. [Citation Graph (0, 0)][DBLP]
    In Silico Biology, 2002, v:2, n:, pp:33- [Journal]
  16. Xinan Yang, Stefan Bentink, Stefanie Scheid, Rainer Spang
    Similarities of Ordered Gene Lists. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2006, v:4, n:3, pp:693-708 [Journal]
  17. Rainer Spang, Marc Rehmsmeier, Jens Stoye
    A Novel Approach to Remote Homology Detection: Jumping Alignments. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2002, v:9, n:5, pp:747-760 [Journal]
  18. Stefanie Scheid, Rainer Spang
    A Stochastic Downhill Search Algorithm for Estimating the Local False Discovery Rate. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2004, v:1, n:3, pp:98-108 [Journal]

  19. Annotation-based Distance Measures for Patient Subgroup Discovery in Clinical Microarray Studies. [Citation Graph (, )][DBLP]


  20. Nested effects models for high-dimensional phenotyping screens. [Citation Graph (, )][DBLP]


  21. Annotation-based distance measures for patient subgroup discovery in clinical microarray studies. [Citation Graph (, )][DBLP]


  22. Detecting hierarchical structure in molecular characteristics of disease using transitive approximations of directed graphs. [Citation Graph (, )][DBLP]


  23. Analyzing gene perturbation screens with nested effects models in R and bioconductor. [Citation Graph (, )][DBLP]


  24. Inferring cellular networks - a review. [Citation Graph (, )][DBLP]


  25. Automated in-silico detection of cell populations in flow cytometry readouts and its application to leukemia disease monitoring. [Citation Graph (, )][DBLP]


  26. Selecting normalization genes for small diagnostic microarrays. [Citation Graph (, )][DBLP]


  27. ReseqChip: Automated integration of multiple local context probe data from the MitoChip array in mitochondrial DNA sequence assembly. [Citation Graph (, )][DBLP]


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