EndoMetronome

    EndoMetronome is a machine learning system which predicts timing, gene expression, and risk of pregnancy loss from luteal phase endometrial biopsies.

    This website provides instructions to the visualisation server (below) which is available at: https://tiademos.dcs.warwick.ac.uk/bokeh_app?demo=Endometronome

    The website also allows the input of a heterogeneous graph to return predictions for all outputs. For an example graph, please download this file.

    For any queries, please contact Fayyaz.Minhas@warwick.ac.uk

    George Wright, Tom Rawlings, Joanne Muter, Mark Eastwood, Chow-Seng Kong, Paul Brighton, Jan Brosens, and Fayyaz ul Amir Afsar Minhas. EndoMetronome: Histology Image Based Prediction of Endometrial Timing, Gene Expression, and Miscarriages Reveals Multi-Scale Dysregulation Patterns

Overview of EndoMetronome model architecture

How to Use The Visualisation Tool

  • Select the slide at the top-right of the window.
  • Use the "Add Overlay" button to choose output for viewing.
  • Switch heatmaps with the 'color by' selector.
  • Red indicates high predictions; blue indicates low (in default coolwarm color map)
  • Adjust overlay transparency with the 'overlay alpha' slider.
  • See example slides below.
Guide illustration for using the visualization tool

Example Heatmaps

Endometrial Timing Prediction

EndoTime
Low High
LH+
Low High
GPX3/SLC15A2
Low High

Stromal Gene Prediction

PLA2G2A
Low High
DIO2
Low High
PLA2G2A/DIO2 Ratio
Low High
SCARA5
Low High
TIMP3
Low High
IL15
Low High
IGFBP1
Low High

Glandular Gene Predictions

DPP4
Low High
CXCL14
Low High
GPX3
Low High
SLC15A2
Low High

uNK Cell Gene Predictions

IL2RB
Low High
ITGAD
Low High
TAGAP
Low High

Upload A Graph!