E-LIB Suche - Ergebnisse für: Sacar, Duygu Erbas

1

Cultural adaptation and clinical validation of Rapid Cognit..:

Erdoğan, Tuğba ; Tüfekçioğlu, Zeynep ; Saçar, Duygu Erbaş...
Psychogeriatrics. 24 (2023) 1 - p. 87-93 , 2023

Link: https://doi.org/10.1111/..

2

Sarcopenic obesity versus sarcopenia alone with the use of ..:

Ozkok, Serdar ; Aydin, Caglar Ozer ; Sacar, Duygu Erbas...
Clinical Nutrition. 41 (2022) 11 - p. 2509-2516 , 2022

Link: https://doi.org/10.1016/..

3

Associations between polypharmacy and physical performance ..:

Ozkok, Serdar ; Aydin, Caglar Ozer ; Sacar, Duygu Erbas...
Archives of Gerontology and Geriatrics. 98 (2022) - p. 104553 , 2022

Link: https://doi.org/10.1016/..

4

Probable sarcopenia: associations with common geriatric syn..:

Erbas Sacar, Duygu ; Kılıc, Cihan ; Oren, Meryem Merve...
European Geriatric Medicine. 13 (2022) 6 - p. 1299-1308 , 2022

Link: https://doi.org/10.1007/..

5

SARC-F can detect sarcopenia with a high sensitivity:

Bahat, Gulistan ; Erbas Sacar, Duygu
Aging Clinical and Experimental Research. , 2021

Link: https://doi.org/10.1007/..

6

Computational Prediction of MicroRNAs from Toxoplasma Gondi..:

Saçar, Müşerref Duygu ; Bağcı, Caner ; Allmer, Jens
Genomics, Proteomics & Bioinformatics. 12 (2014) 5 - p. 228-238 , 2014

Link: https://doi.org/10.1016/..

7

Can MiRBase Provide Positive Data for Machine Learning for ..:

Saçar, Müşerref Duygu ; Hamzeiy, Hamid ; Allmer, Jens
Journal of Integrative Bioinformatics. 10 (2013) 2 - p. 1-11 , 2013

Link: https://doi.org/10.1515/..

8

NeRNA: A negative data generation framework for machine lea..:

Orhan, Mehmet Emin ; Demirci, Yılmaz Mehmet ; Saçar Demirci, Müşerref Duygu
Computers in Biology and Medicine. 159 (2023) - p. 106861 , 2023

Link: https://doi.org/10.1016/..

9

Circular RNA–MicroRNA–MRNA interaction predictions in SARS-..:

Demirci, Yılmaz Mehmet ; Saçar Demirci, Müşerref Duygu
Journal of Integrative Bioinformatics. 18 (2021) 1 - p. 45-50 , 2021

Link: https://doi.org/10.1515/..

10

Computational prediction of microRNAs in Histoplasma capsul..:

Saçar Demirci, Müşerref Duygu
Microbial Pathogenesis. 148 (2020) - p. 104433 , 2020

Link: https://doi.org/10.1016/..

11

Computational analysis of microRNA-mediated interactions in..:

Saçar Demirci, Müşerref Duygu ; Adan, Aysun
PeerJ. 8 (2020) - p. e9369 , 2020

Link: https://doi.org/10.7717/..

12

On the performance of pre-microRNA detection algorithms:

Saçar Demirci, Müşerref Duygu ; Baumbach, Jan ; Allmer, Jens
Nature Communications. 8 (2017) 1 - p. , 2017

Link: https://doi.org/10.1038/..

13

Delineating the impact of machine learning elements in pre-..:

Saçar Demirci, Müşerref Duygu ; Allmer, Jens
PeerJ. 5 (2017) - p. e3131 , 2017

Link: https://doi.org/10.7717/..

14

Feature Selection Has a Large Impact on One-Class Classific..:

Yousef, Malik ; Saçar Demirci, Müşerref Duygu ; Khalifa, Waleed.
Advances in Bioinformatics. 2016 (2016) - p. 1-6 , 2016

Link: https://doi.org/10.1155/..

15

The impact of feature selection on one and two-class classi..:

Khalifa, Waleed ; Yousef, Malik ; Saçar Demirci, Müşerref Duygu.
PeerJ. 4 (2016) - p. e2135 , 2016

Link: https://doi.org/10.7717/..