Area of research
Cardiology and Cardiovascular Medicine · Genetics
Research interest
Research interests include Renin-Angiotensin System Studies, Genetic Associations and Epidemiology, Hormonal Regulation and Hypertension, and Bioinformatics and Genomic Networks.
Supplementary Methods File S1 from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Tables from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Figures from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Data from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Novel loci and biomedical consequences of iron homoeostasis variation
Supplementary Figures from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-Cell RNAseq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Methods File S1 from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-Cell RNAseq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Tables from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-Cell RNAseq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Figures from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-Cell RNAseq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Methods File S1 from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-Cell RNAseq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Tables from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-Cell RNAseq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
FinnGen provides genetic insights from a well-phenotyped isolated population
Genetic Risk Factors Associated With Preeclampsia and Hypertensive Disorders of Pregnancy
Author Correction: FinnGen provides genetic insights from a well-phenotyped isolated population
Narcolepsy risk loci outline role of T cell autoimmunity and infectious triggers in narcolepsy
iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.
Supplementary Figures from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Tables from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Methods File S1 from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Tables from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Methods File S1 from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Figures from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Methods File S1 from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Methods File S1 from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Figures from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Figures from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Data from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Data from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Tables from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration
Supplementary Tables from iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration