Rūta Užupytė
Biographic Data
| ID | 1919695 |
|---|---|
| NAME | Rūta Užupytė |
| GIVEN NAMES | Rūta |
| FAMILY NAME | Užupytė |
| SIGNATURE | UŽUPYTĖ R |
| AFFILIATIONS | Vytautas Magnus University |
| ORCID | 0000-0001-6175-0583 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Non-parametric estimation of reciprocity and triadic effects in relational event networks
Mir-1, miR-122, miR-132, and miR-133 Are Related to Subclinical Aortic Atherosclerosis Associated with Metabolic Syndrome
Previously, miR-1, miR-122, miR-126, miR-132, miR-133, and miR-370 were found to be related to coronary artery disease (CAD) progression. However, their relationship with subclinical atherosclerosis, especially in subjects with metabolic syndrome, is unknown. Therefore, our aim was to determine their relationship with arterial markers of subclinical atherosclerosis. Metabolic syndrome subjects (n = 182) with high cardiovascular risk but without o…
Test for triadic closure and triadic protection in temporal relational event data
Test for triadic closure and triadic protection in temporal relational event data
Mir-1, miR-122, miR-132, and miR-133 Are Related to Subclinical Aortic Atherosclerosis Associated with Metabolic Syndrome
Previously, miR-1, miR-122, miR-126, miR-132, miR-133, and miR-370 were found to be related to coronary artery disease (CAD) progression. However, their relationship with subclinical atherosclerosis, especially in subjects with metabolic syndrome, is unknown. Therefore, our aim was to determine their relationship with arterial markers of subclinical atherosclerosis. Metabolic syndrome subjects (n = 182) with high cardiovascular risk but without o…
Non-parametric estimation of reciprocity and triadic effects in relational event networks
Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Physics (2 works) · Psychology (2 works) · Analytics (1 work) · Arterial stiffness (1 work) · Artificial Intelligence (1 work) · Blood pressure (1 work) · Cancer-related molecular mechanisms research (1 work) · Cardiology (1 work)