Uncategorized pages

Showing below up to 50 results in range #101 to #150.

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  1. ICP software
  2. ISA internals
  3. ISA tutorial
  4. Identification of cell cycle-relevant gene modules in single-cell RNA-seq data
  5. Identification of obesity and BMI associated intergenic long noncoding RNAs
  6. Identifying genes and pathways that modulate multiple traits
  7. Ilaria
  8. Inference of Overall Heritability Captured by GWA-Data
  9. Integrative Analysis
  10. Intermediate report meeting
  11. Intermediate report meeting 2010
  12. Intermediate report meeting 2011
  13. Intermediate report meeting 2012
  14. Internal
  15. Introduction to dynamical systems and differential equations
  16. Jacques Beckmann
  17. Johann Weber
  18. Journal Club
  19. Journal Club (2014-2015)
  20. Journal Club (Autumn 2018)
  21. Journal Club (Spring 2017)
  22. Journal Club (Spring 2018)
  23. Journal Club (autumn 2013)
  24. Journal Club (autumn 2015)
  25. Journal Club (autumn 2016)
  26. Journal Club (autumn 2017)
  27. Journal Club (spring 2012)
  28. Journal Club (spring 2013)
  29. Journal Club (spring 2014)
  30. Journal Club (spring 2016)
  31. Kinematics of seedling elongation
  32. Lab mouse phylogeny
  33. Library
  34. Metabolome
  35. Metabolomics— Linking Genotype and Phenotype
  36. Michael
  37. Microarray data analysis of the shade avoidance in plants
  38. Mitose cellulaire dans les levures: étude des effets géométriques sur la formation du gradient de Pom1
  39. Modeling: Pattern formation using Reaction-Diffusion models
  40. Modeling: Spread of epidemics
  41. Modeling gradient formation in the fission yeast
  42. Modeling of gradient formation in "Drosophila" embryos
  43. Module 1: Is the hourglass model for gene expression really supported by the data?
  44. Module 2: How to normalize metabolomics data: z-scores or creatinine as reference?
  45. Module 2: How well does sequence similarity predict similarity in binding specificity?
  46. Module 2: Metabolome-wide genome-wide association study
  47. Module 3: How to make valid prognostic models with gene expression signatures?
  48. Module 3: Mauro's project
  49. Module 4: How do "our expectations" confound the results of our analyses?
  50. Module 4: How does feature selection impact integrative clustering analysis?

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