Saed Sayad

The paper identifies compounds BPS and BPF that upregulate key downregulated genes in FSHD2 using single-cell RNA-Seq data and computational analysis.

The paper identifies CD83 as a potential therapeutic target in metastatic breast cancer using single-cell RNA-seq data from patient samples.

This study compares bulk and single-cell transcriptomes of FSHD2 to identify differentially expressed genes and pathways, finding that single-cell analysis better reveals muscle-specific gene regulation.

The paper identifies chromosomal locations of top upregulated and downregulated genes in cancer cell lines using copy number variation data from DepMap.

The paper develops a polygenic risk score model for gastric cancer using GWAS data and machine learning, achieving 0.93 accuracy with 100 SNPs.