Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ahmet Sayici"'
Autor:
Pei Zhao, Fatih Coşkun, Yahong Kang, Sebiha Cevik, Halil I. Bilgin, Ahmet Sayici, Furkan M. Torun, Mustafa S. Pir, Oktay I. Kaplan
Publikováno v:
Nucleic Acids Research
The availability of genetic variants, together with phenotypic annotations from model organisms, facilitates comparing these variants with equivalent variants in humans. However, existing databases and search tools do not make it easy to scan for equ
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030871000
Recent advances in the high throughput technologies resulted in the production of large gene expression data sets for several phenotypes. Via comparing the gene expression levels under different conditions, such as disease vs. control, treated vs. no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::585f321f03de8a99691b5597fc473752
https://doi.org/10.1007/978-3-030-87101-7_20
https://doi.org/10.1007/978-3-030-87101-7_20
Autor:
Pir, Mustafa S, Bilgin, Halil I, Sayici, Ahmet, Coşkun, Fatih, Torun, Furkan M, Zhao, Pei, Kang, Yahong, Cevik, Sebiha, Kaplan, Oktay I
Publikováno v:
Nucleic Acids Research; 1/7/2022, Vol. 50 Issue D1, pD1172-D1178, 7p
Autor:
Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Anna Fensel, Jorge Martinez-Gil, Lukas Fischer, Gerald Czech, Florian Sobieczky, Sohail Khan
This volume constitutes the refereed proceedings of the workshops held at the 32nd International Conference on Database and Expert Systems Applications, DEXA 2021, held in a virtual format in September 2021: The 12th International Workshop on Biolo