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Hulkar Mamayusupova
Hulkar Mamayusupova
Senior Research Officer, Univresity of Essex. Associate Professor, AKFA University
Verified email at essex.ac.uk
Title
Cited by
Cited by
Year
CTCF-dependent chromatin boundaries formed by asymmetric nucleosome arrays with decreased linker length
CT Clarkson, EA Deeks, R Samarista, H Mamayusupova, VB Zhurkin, ...
Nucleic acids research 47 (21), 11181-11196, 2019
512019
DNA sequence-dependent formation of heterochromatin nanodomains
GJ Thorn, CT Clarkson, A Rademacher, H Mamayusupova, G Schotta, ...
Nature communications 13 (1), 1861, 2022
222022
Higher anticholinergic burden from medications is associated with significant increase in markers of inflammation in the EPIC‐Norfolk prospective population‐based cohort study
R Sanghavi, TA Pana, H Mamayusupova, I Maidment, C Fox, ...
British journal of clinical pharmacology 88 (7), 3297-3306, 2022
72022
Nucleosome reorganisation in breast cancer tissues
DR Jacob, WM Guiblet, H Mamayusupova, M Shtumpf, I Ciuta, L Ruje, ...
Clinical Epigenetics 16 (1), 50, 2024
22024
A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey
A Secchi, H Mamayusupova, S Sami, I Maidment, S Coulton, PK Myint, ...
Age and Ageing 51 (8), afac196, 2022
22022
Aging clock based on nucleosome reorganisation derived from cell‐free DNA
M Shtumpf, S Jeong, M Bikova, H Mamayusupova, L Ruje, VB Teif
Aging Cell, e14100, 2024
12024
4CPS-262 A novel artificial intelligence-based tool to assess anticholinergic burden: a survey
A Secchi, C Fox, H Mamayusupova, S Sami, I Maidment, S Coulton, ...
European Journal of Hospital Pharmacy 30 (Suppl 1), A109-A109, 2023
2023
A novel machine learning approach to anticholinergic burden quantification
C Fleetwood, M Salehi, R Ward, H Mamayusupova, A Secchi, S Coulton, ...
Available at SSRN 3777231, 2021
2021
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