Maya Ziv

Human subcutaneous and visceral adipocyte atlases uncover classical and specialized adipocytes and depot-specific patterns

The paper uses snRNA-seq to analyze human subcutaneous and visceral adipose tissue, identifying classical and specialized adipocyte subtypes and depot-specific patterns.

sNucConv: A bulk RNA-seq deconvolution method trained on single-nucleus RNA-seq data to estimate cell-type composition of human subcutaneous and visceral adipose tissues

Affected cell types for hundreds of Mendelian diseases revealed by analysis of human and mouse single-cell data

The paper identifies affected cell types for 714 hereditary diseases using single-cell data from human and mouse tissues.

A tissue-aware machine learning framework enhances the mechanistic understanding and genetic diagnosis of Mendelian and rare diseases

This paper introduces a tissue-aware machine learning framework to improve understanding and diagnosis of Mendelian and rare diseases by leveraging tissue-specific gene mechanisms.