BINF301 Machine Learning for Systems Biology
  1. Causal inference
  2. Path-breaking paper
  • Home
  • Introduction to Julia
  • Cluster analysis
    • Path-breaking paper
    • Theory
    • Implementation
  • Statistical significance
    • Path-breaking paper
    • Theory
    • Implementation
  • Regularized regression
    • Path-breaking paper
    • Theory
    • Implementation
  • Dimensionality reduction
    • Path-breaking paper
    • Theory (PCA)
    • Theory (t-SNE, UMAP)
    • Implementation
  • Causal inference
    • Path-breaking paper
    • Theory
    • Implementation
  • Bayesian networks
    • Path-breaking paper
    • Theory
  • Gaussian processes
    • Path-breaking paper
    • Theory
    • Implementation
  • Neural networks
    • Path-breaking paper
    • Theory
  • Appendix

On this page

  • Motivation
  • Questions for discussion
  • Test of time
  1. Causal inference
  2. Path-breaking paper

Path-breaking paper: Genetical genomics: the added value from segregation

Path-breaking paper

Jancen RC and Nap JP. Genetical genomics: the added value from segregation. Trends in Genetics 17:388 (2001)

Schadt, E., Lamb, J., Yang, X. et al. An integrative genomics approach to infer causal associations between gene expression and disease. Nat Genet 37, 710–717 (2005).

Test of time paper

Li Y, Tesson BM, Churchill GA, and Jancen RC. Critical reasoning on causal inference in genome-wide linkage and association studies. Trends in Genetics 26:493 (2010)

Test of time paper

Zheng J, et al. Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases. Nat Genet 52, 1122–1131 (2020).

Motivation

Questions for discussion

Test of time

Implementation
Theory