Detalles de la búsqueda
1.
An omics perspective on drug target discovery platforms.
Brief Bioinform;
21(6): 1937-1953, 2020 12 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-31774113
2.
ThETA: transcriptome-driven efficacy estimates for gene-based TArget discovery.
Bioinformatics;
36(14): 4214-4216, 2020 08 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-32437556
3.
Diagnostic yield of genetic testing in a heterogeneous cohort of 1376 HCM patients.
BMC Cardiovasc Disord;
21(1): 126, 2021 03 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-33673806
4.
Putative metabolites involved in the beneficial effects of wholegrain cereal: Nontargeted metabolite profiling approach.
Nutr Metab Cardiovasc Dis;
31(4): 1156-1165, 2021 04 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-33589320
5.
Susceptibility to Cardiac Arrhythmias and Sympathetic Nerve Growth in VEGF-B Overexpressing Myocardium.
Mol Ther;
28(7): 1731-1740, 2020 07 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-32243833
6.
Varanto: variant enrichment analysis and annotation.
Bioinformatics;
35(17): 3154-3156, 2019 09 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-30689722
7.
The Contribution of Staffing to Medication Administration Errors: A Text Mining Analysis of Incident Report Data.
J Nurs Scholarsh;
52(1): 113-123, 2020 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-31763763
8.
Random forest-based imputation outperforms other methods for imputing LC-MS metabolomics data: a comparative study.
BMC Bioinformatics;
20(1): 492, 2019 Oct 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-31601178
9.
A multiomic approach to characterize the temporal sequence in Alzheimer's disease-related pathology.
Neurobiol Dis;
124: 454-468, 2019 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-30557660
10.
Digitally supported program for type 2 diabetes risk identification and risk reduction in real-world setting: protocol for the StopDia model and randomized controlled trial.
BMC Public Health;
19(1): 255, 2019 Mar 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-30823909
11.
Identifying risks areas related to medication administrations - text mining analysis using free-text descriptions of incident reports.
BMC Health Serv Res;
19(1): 791, 2019 Nov 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-31684924
12.
In Vitro and In Vivo Pipeline for Validation of Disease-Modifying Effects of Systems Biology-Derived Network Treatments for Traumatic Brain Injury-Lessons Learned.
Int J Mol Sci;
20(21)2019 Oct 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-31671916
13.
Text Mining Method for Studying Medication Administration Incidents and Nurse-Staffing Contributing Factors: A Pilot Study.
Comput Inform Nurs;
37(7): 357-365, 2019 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-30870188
14.
SEPT8 modulates ß-amyloidogenic processing of APP by affecting the sorting and accumulation of BACE1.
J Cell Sci;
129(11): 2224-38, 2016 06 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-27084579
15.
Decreased plasma ß-amyloid in the Alzheimer's disease APP A673T variant carriers.
Ann Neurol;
82(1): 128-132, 2017 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-28556232
16.
Kuopio birth cohort - design of a Finnish joint research effort for identification of environmental and lifestyle risk factors for the wellbeing of the mother and the newborn child.
BMC Pregnancy Childbirth;
18(1): 381, 2018 Sep 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-30241516
17.
Screening approach for identifying candidate drugs and drug-drug interactions related to hip fracture risk in persons with Alzheimer disease.
Pharmacoepidemiol Drug Saf;
26(8): 875-889, 2017 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-28556303
18.
Relationship between ubiquilin-1 and BACE1 in human Alzheimer's disease and APdE9 transgenic mouse brain and cell-based models.
Neurobiol Dis;
85: 187-205, 2016 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-26563932
19.
Associations of TM6SF2 167K allele with liver enzymes and lipid profile in children: the PANIC Study.
Pediatr Res;
79(5): 684-8, 2016 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-26756786
20.
The effects of a 2-year individualized and family-based lifestyle intervention on physical activity, sedentary behavior and diet in children.
Prev Med;
87: 81-88, 2016 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-26915641