Multi-omics analysis report

Multi-omics integration report overview

  • Integration overview
  • Correlation heatmap
  • Multi-omics signatures
  • Multi-omics heatmap
  • Multi-omics network
  • Multi-omics modules
  • Cell type enrichment
  • Functional enrichment
  • Transcription Factor enrichment
  • Pseudotime analysis
  • Open targets

Integration overview

Analysis summary

Integration model: MOFA
Dependent variable: diagnosis
Sense check variable: PHF1
Clinical covariates: PHF1, amyloid, pTau, AD, Braak
Weights threshold: 0.2
Correlation threshold: 0.4
Disease ID (Open target database): MONDO_0004975

The interpretation depends on the direction of the analysis. If the direction is negative, features with positive weights are ‘down regulated’ in samples in disease state.

Direction of the analysis: -1

Factor most strongly correlated with sense check variable selected for downstream analysis: 6

Model

## Trained MOFA with the following characteristics: 
##  Number of views: 2 
##  Views names: mRNA proteins 
##  Number of features (per view): 2945 2945 
##  Number of groups: 1 
##  Groups names: group1 
##  Number of samples (per group): 40 
##  Number of factors: 15

Variance explained

Correlation heatmap

Multi-omics signatures

Weights distribution

Transcriptomics

Proteomics

Multi-omics signature from positive weights

Transcriptomics

Proteomics

Top positive features plots

Names of features that are represented in both transcriptomics and proteomics have either ’_mRNA’ or ’_proteins’ append to their name. Features with orginal names are only seen in a single dataset.

Transcriptomics

Proteomics

Multi-omics signature from negative weights

Transcriptomics

Proteomics

Top negative features plots

Names of features that are represented in both transcriptomics and proteomics have either ’_mRNA’ or ’_proteins’ append to their name. Features with orginal names are only seen in a single dataset.

Transcriptomics

Proteomics

Multi-omics heatmap

Transcriptomics

Proteomics

Multi-omics network

Positive weights

Negative weights

Interactive visualisation

Positive weights

Negative weights

Multi-omics modules

Modules from positive weights

Modules from negative weights

Cell type enrichment

Positive weights

## $`1`

## 
## $`2`

## 
## $`3`

## 
## $`4`

Negative weights

## $`1`

## 
## $`2`

## 
## $`3`

## 
## $`4`

## 
## $`5`

Functional enrichment

Positive weights

## $`1`

## 
## $`2`

## 
## $`3`

## 
## $`4`

Negative weights

## $`1`

## 
## $`2`

## 
## $`3`

## 
## $`4`

## 
## $`5`

Transcription Factor enrichment

Positive weights

Enrichment Heatmap

## No significant TF - gene target enrichment detected!

TF - target gene circular plot

Negative weights

Enrichment Heatmap

TF - target gene circular plot

Pseudo-time analysis

## Pseudotime analysis was not conducted

Open Targets (Positive weights)

Transcriptomics

Proteomics

Open Targets (Negative weights)

Transcriptomics

Proteomics


Omix v1.0.0 – 2023-06-30 15:51:43

 

A report by Omix