exposomedatachallenge2021's Introduction

Dimensionality reduction in exposome and omic data to uncover molecular pathologic mechanisms

Authors:

Keyword: exposome, transcriptome, metabolome, dimensionality reduction, pathway association analyses, integration analyses.

Timeline (from the official webpage):

February 18: Exposome dataset available here.
March 4: We submitted this proposal.
March 8: Proposal submission deadline --> updated to March 12.
March 15: Proposal selection results --> updated to March 22.
March-April: Time for the selected participants to apply their method on the Exposome dataset provided.
April 28: Selected participants apply their methods on the Exposome dataset provided, submit the results and codes on the event Github page.
April 28-30: Showcase of the results and discussion. Selected participants present their methods and results on the Exposome dataset provided. The results and codes will be submitted on the event Github page.

Status :

This abstract has been selected for the Topic 2 - Muti-omic data integration chaired by Juan Ramón González on Wednesday, April 28th, 4:45 - 6:00 PM (CET time).
After performing the initial analyses and observed that results were not conclusive or relevant, we decided to renounce to the event on Monday, April 26th.

Analyses:

Abstract with the plan here.
Dimensionallity reduction of exposure data using PCA here.
Dimensionallity reduction of metabolome data using PCA and its association analysis with reduced exposome here
Dimensionallity reduction of expression data using Hipathia and its association analysis with reduced exposome here

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