Amir Alavi

This study identifies novel plasma biomarkers for Alzheimer's disease and related dementias using unbiased proteomics in a large cohort.

The paper introduces iDiscoid, a human stem cell model of post-implantation development that recapitulates key morphogenetic features and offers a platform for studying early human development.

This paper develops a domain adversarial neural network to reduce scRNA-seq data dimensionality while minimizing batch effects, improving cell type separation across datasets.

The paper introduces SCIPR, a method for aligning scRNA-seq data across studies, showing it can generalize to new data and identify cell type-specific genes.

scQuery provides a web server for supervised comparison of single-cell RNA-seq datasets, showing supervised methods outperform unsupervised approaches in cell type identification.