Követés
Gergely Temesi
Gergely Temesi
IQVIA, MSD, Merck, Budapest University of Technology and Economics, Semmelweis University
E-mail megerősítve itt: merck.com
Cím
Hivatkozott rá
Hivatkozott rá
Év
A deep learning genome-mining strategy for biosynthetic gene cluster prediction
GD Hannigan, D Prihoda, A Palicka, J Soukup, O Klempir, L Rampula, ...
Nucleic acids research 47 (18), e110-e110, 2019
2692019
Evaluation of a partial genome screening of two asthma susceptibility regions using bayesian network based bayesian multilevel analysis of relevance
I Ungvári, G Hullám, P Antal, PS Kiszel, A Gézsi, É Hadadi, V Virág, ...
PLoS One 7 (3), e33573, 2012
652012
Human-centered design strategies for device selection in mHealth programs: development of a novel framework and case study
AM Polhemus, J Novák, J Ferrao, S Simblett, M Radaelli, P Locatelli, ...
JMIR mHealth and uHealth 8 (5), e16043, 2020
442020
Drug repositioning for treatment of movement disorders: from serendipity to rational discovery strategies
B Bolgár, A Arany, G Temesi, B Balogh, P Antal, P Matyus
Current topics in medicinal chemistry 13 (18), 2337-2363, 2013
382013
Data visualization for chronic neurological and mental health condition self-management: systematic review of user perspectives
A Polhemus, J Novak, S Majid, S Simblett, D Morris, S Bruce, P Burke, ...
JMIR mental health 9 (4), e25249, 2022
342022
Novel genes in human asthma based on a mouse model of allergic airway inflammation and human investigations
G Temesi, V Virág, É Hadadi, I Ungvári, LE Fodor, A Bikov, A Nagy, ...
Allergy, asthma & immunology research 6 (6), 496-503, 2014
202014
Health tracking via mobile apps for depression self-management: qualitative content analysis of user reviews
A Polhemus, S Simblett, E Dawe-Lane, G Gilpin, B Elliott, S Jilka, J Novak, ...
JMIR Human Factors 9 (4), e40133, 2022
142022
Early repositioning through compound set enrichment analysis: a knowledge-recycling strategy
G Temesi, B Bolgár, Á Arany, C Szalai, P Antal, P Mátyus
Future medicinal chemistry 6 (5), 563-575, 2014
142014
Mutation maker, an open source oligo design platform for protein engineering
K Hiraga, P Mejzlik, M Marcisin, N Vostrosablin, A Gromek, J Arnold, ...
ACS Synthetic Biology 10 (2), 357-370, 2021
92021
Complex analysis of multiple single nucleotide polymorphisms as putative risk factors of tooth agenesis in the Hungarian population
G Jobbágy-Óvári, C Páska, P Stiedl, B Trimmel, D Hontvári, B Soós, ...
Acta Odontologica Scandinavica 72 (3), 216-227, 2014
92014
Experiences of health tracking in mobile apps for multiple sclerosis: A qualitative content analysis of user reviews
A Polhemus, S Simblett, ED Lane, B Elliott, S Jilka, E Negbenose, P Burke, ...
Multiple sclerosis and related disorders 69, 104435, 2023
62023
TargetAnalytica: A Text Analytics Framework for Ranking Therapeutic Molecules in the Bibliome
AA Hamed, A Leszczynska, M Schoenberg, G Temesi, K Verspoor
Cham: Springer International Publishing, 2021
12021
Human-centered design strategies for device selection in mHealth programs: A review of evidence and novel framework
AM Polhemus, J Novák, J Ferrao, S Simblett, M Radaelli, P Locatelli, ...
12020
Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study
S Simblett, E Dawe-Lane, G Gilpin, D Morris, K White, S Erturk, ...
Journal of Medical Internet Research 26, e43954, 2024
2024
Hatóanyagok és terápiás célpontok vizsgálata adatmérnöki eszközökkel
G Temesi
2015
App-Based Epilepsy Self-Management: Clarifying Health Tracking Needs and Preferences Through a Content Analysis of User Reviews
A Polhemus, G Gilpin, S Simblett, E Dawe-Lane, B Elliott, S Jilka, J Novák, ...
Available at SSRN 4358012, 0
Hatóanyagok és terápiás célpontok vizsgálata adatmérnöki eszközökkel
TG Botond
Characterizing compounds and therapeutic targets with novel data engineering techniques
GB Temesi
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Cikkek 1–18