Datasets
Models
Data:
Tabular
Time Series
Specialty:
Endocrinology
Laboratory:
Blood Tests
EHR:
Demographics
Diagnoses
Medications
Omics:
Genomics
Multi-omics
Transcriptomics
Wearable:
Activity
Clinical Purpose:
Treatment Response Assessment
Task:
Biomarker Discovery
Tabular
Time Series
Specialty:
Endocrinology
Laboratory:
Blood Tests
EHR:
Demographics
Diagnoses
Medications
Omics:
Genomics
Multi-omics
Transcriptomics
Wearable:
Activity
Clinical Purpose:
Treatment Response Assessment
Task:
Biomarker Discovery
Diff of
/docs/source/index.rst
[000000]
..
[c23b31]
Switch to side-by-side view
--- a +++ b/docs/source/index.rst @@ -0,0 +1,22 @@ +Welcome to MOVE's documentation! +================================ + +.. toctree:: + :hidden: + :maxdepth: 1 + :caption: Contents: + + install + method + tutorial/index + +MOVE (**m**\ ulti-\ **o**\ mics **v**\ ariational auto\ **e**\ ncoder) is a +framework for integration of omics and other data modalities (including both +categorical and continuous data). Our approach consists of training an ensemble +of VAE (variational autoencoder) models and performing *in silico* perturbation +experiments to identify associations across the different omics datasets. + +We invite you to read `our publication`_ presenting this method, or read +about the method :doc:`here</method>`. + +.. _`our publication`: https://www.nature.com/articles/s41587-022-01520-x