Causality Causality Workbench                                                             Challenges in Machine Learning Causality
Filtering by keyword: bayesian.network [X]
 

CYTO: Causal Protein-Signaling Networks in human T cells

Contact: Karen Sachs - Submitted: 2008-11-14 15:50 - Views : 4425

This dataset consists of roughly 700 to 900 single cell recordings of the abundance of 11 phosphoproteins and phospholipids (PKC, PKA, P38, Jnk (pjnk), Raf (praf), Mek (pmek), Erk (p44/42), Akt (pakts473), PLC-gamma (plcg), PIP2, PIP3) under various...  [more/question/discuss/rate/edit...]

TIED: Target Information Equivalent Dataset

Contact: Alexander Statnikov - Submitted: 2008-09-12 20:24 - Views : 2689

TIED dataset 2008 Alexander Statnikov and Constantin Aliferis Introduction TIED stands for Target Information Equivalent Dataset. It is an artificial simulated dataset constructed to illustrate that there may be many minimal sets of...  [more/question/discuss/rate/edit...]

REGED: A genomics dataset

Contact: Isabelle Guyon - Submitted: 2008-09-12 02:55 - Views : 2003

This is one of the datasets of the first causality challenge: causation and prediction. The goal of the challenge was to make predictions under manipulations. REGED (REsimulated Gene Expression Dataset) monitors the expression of genes, which...  [more/question/discuss/rate/edit...]

  • Authors: Causality workbench team
  • Key facts: Number of variables: 999 (gene expression coefficients) + one binary target variable (health status). Number of examples: training 500 + 3 test sets of 20000...
  • Keywords: bayesian.network, genomics

MARTI: Measurement Artifacts

Contact: Isabelle Guyon - Submitted: 2008-09-12 06:02 - Views : 2084

This is one of the datasets of the first causality challenge: causation and prediction. The goal of the challenge was to make predictions under manipulations. MARTI (Measurement ARTIfact) is obtained from the same data generative process as...  [more/question/discuss/rate/edit...]