Uncategorized pages

Showing below up to 100 results in range #51 to #150.

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  1. EISA and the biclust package
  2. EISA module trees
  3. EISA tutorial
  4. EPFL doctoral course: "Functional Genomics 2009"
  5. EPFL doctoral course: "Functional Genomics 2010"
  6. EPFL doctoral course: "Functional Genomics 2011"
  7. EPFL doctoral course: "Functional Genomics 2012"
  8. EddiMckinzie551
  9. Ensemble pathway discovery
  10. Estimating selection pressure on different genomic regions
  11. Evolution: Estimating rate of speciation and extinction in a tropical plant
  12. Evolution of polymorphism in plants
  13. Evolution of seed size in relation to dispersal agent
  14. ExpressionView File Format
  15. Expression studies
  16. Extracting medically relevant features from the human retina
  17. Feature Requests
  18. Final report meeting
  19. Final report meeting 2010
  20. Final report meeting 2012
  21. Final report meeting 2013
  22. Final report meeting 2019
  23. Finding a clinically relevant measure of obesity
  24. GMM
  25. GWAS project
  26. Gene Expression Signatures 101 - The PAM50 gene expression signature
  27. Genetic determinants of eating patterns
  28. Genetic modulation of transcriptional processes
  29. Genetics of allostatic load in the CoLaus study
  30. Genetics of different body mass measurements
  31. Genetics of eating patterns
  32. Genetics of liver enzymes levels
  33. Genetics of urinary calcium levels
  34. Genome-wide association studies on various clinical phenotypes
  35. Genomic studies: databases and tools
  36. Genomic studies: exercises
  37. Genomic studies: theory
  38. Getting started with ExpressionView
  39. Golden rules for a good CV
  40. Golden rules for a good presentation
  41. Grading
  42. Group Meeting
  43. Guidelines for a successful stay at the CBG
  44. Heritability of BMI
  45. History
  46. How genetic alterations propagate to organismal level traits
  47. How genetic alterations propagate to organismal level traits?
  48. How to upload files and edit your project page
  49. How well does sequence similarity predict similarity in binding specificity?
  50. Human metabolic correlates of cardiovascular risk factors
  51. ICP software
  52. ISA internals
  53. ISA tutorial
  54. Identification of cell cycle-relevant gene modules in single-cell RNA-seq data
  55. Identification of obesity and BMI associated intergenic long noncoding RNAs
  56. Identifying genes and pathways that modulate multiple traits
  57. Ilaria
  58. Inference of Overall Heritability Captured by GWA-Data
  59. Integrative Analysis
  60. Intermediate report meeting
  61. Intermediate report meeting 2010
  62. Intermediate report meeting 2011
  63. Intermediate report meeting 2012
  64. Internal
  65. Introduction to dynamical systems and differential equations
  66. Jacques Beckmann
  67. Johann Weber
  68. Journal Club
  69. Journal Club (2014-2015)
  70. Journal Club (Autumn 2018)
  71. Journal Club (Spring 2017)
  72. Journal Club (Spring 2018)
  73. Journal Club (autumn 2013)
  74. Journal Club (autumn 2015)
  75. Journal Club (autumn 2016)
  76. Journal Club (autumn 2017)
  77. Journal Club (spring 2012)
  78. Journal Club (spring 2013)
  79. Journal Club (spring 2014)
  80. Journal Club (spring 2016)
  81. Kinematics of seedling elongation
  82. Lab mouse phylogeny
  83. Library
  84. Metabolome
  85. Metabolomics— Linking Genotype and Phenotype
  86. Michael
  87. Microarray data analysis of the shade avoidance in plants
  88. Mitose cellulaire dans les levures: étude des effets géométriques sur la formation du gradient de Pom1
  89. Modeling: Pattern formation using Reaction-Diffusion models
  90. Modeling: Spread of epidemics
  91. Modeling gradient formation in the fission yeast
  92. Modeling of gradient formation in "Drosophila" embryos
  93. Module 1: Is the hourglass model for gene expression really supported by the data?
  94. Module 2: How to normalize metabolomics data: z-scores or creatinine as reference?
  95. Module 2: How well does sequence similarity predict similarity in binding specificity?
  96. Module 2: Metabolome-wide genome-wide association study
  97. Module 3: How to make valid prognostic models with gene expression signatures?
  98. Module 3: Mauro's project
  99. Module 4: How do "our expectations" confound the results of our analyses?
  100. Module 4: How does feature selection impact integrative clustering analysis?

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