Mika Sarkin Jain

Small-cohort GWAS discovery with AI over massive functional genomics knowledge graph

KGWAS improves GWAS power in small cohorts by integrating a functional knowledge graph, discovering more associations for rare diseases.

scMoMaT: Mosaic integration of single cell multi-omics data using matrix trifactorization

scMoMaT integrates single-cell multi-omics data under mosaic integration using matrix tri-factorization, uncovering modality-specific biomarkers for improved cell type annotation.

Cell2location maps fine-grained cell types in spatial transcriptomics

cell2location uses a Bayesian model to integrate single-cell and spatial transcriptomics, mapping cell types in situ across mouse brain regions and human lymph node immune compartments.

MultiMAP: Dimensionality Reduction and Integration of Multimodal Data

MultiMAP integrates multimodal data by reducing dimensionality and preserving structure, outperforming existing methods in various tasks.

Intrinsic and extrinsic regulation of human fetal bone marrow haematopoiesis and perturbations in Down syndrome

This study uses single-cell RNA-sequencing to analyze fetal bone marrow development and identifies disruptions in hematopoiesis in Down syndrome.

Predicting tumour mutational burden from histopathological images using multiscale deep learning

This paper develops a deep learning model to predict tumour mutational burden from histopathological images, achieving high accuracy comparable to genetic sequencing.