MultiMAP

MultiMAP is a method for integrating single cell multi-omics. MultiMAP can also be used for batch correction. More detail is available in our paper.

Installation

pip3 install git+https://github.com/Teichlab/MultiMAP.git

Usage and Documentation

MultiMAP offers two functions accepting AnnData objects on input:

• MultiMAP.Integration() expects a list of one AnnData per dataset, with the desired dimensionality reduction precomputed and stored in .obsm. This allows for refining the initial dimensionality reduction, e.g. if wishing to use TFIDF_LSI for ATAC data and PCA for RNA data.
• MultiMAP.Batch() expects a single AnnData object with the dataset information stored in an .obs column. This allows for convenient integration with minimal preparation if all datasets can be treated with the same dimensionality reduction.

There's also an AnnData-independent MultiMAP.matrix.MultiMAP() function which operates directly on dimensionality reduction matrices. This requires precomputing all pairwise dimensionality reductions prior to calling MultiMAP.

A tutorial covering both RNA-ATAC integration and RNA-Seq batch correction use can be found here.

Documentation of the function parameters can be found on ReadTheDocs.

Citation

If your work uses MultiMAP, please cite the paper:

@article{jain2021multimap,
  title={MultiMAP: dimensionality reduction and integration of multimodal data},
  author={Jain, Mika Sarkin and Polanski, Krzysztof and Conde, Cecilia Dominguez and Chen, Xi and Park, Jongeun and Mamanova, Lira and Knights, Andrew and Botting, Rachel A and Stephenson, Emily and Haniffa, Muzlifah and others},
  journal={Genome biology},
  volume={22},
  number={1},
  pages={1--26},
  year={2021},
  publisher={BioMed Central}
}

Contact

Mika Sarkin Jain - [email protected]
Mirjana Efremova - [email protected]
Sarah Teichmann - [email protected]