Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Burcu Bakır-Güngör"'
Autor:
Burcu Bakır Güngör
Publikováno v:
Volume: 5, Issue: S-1 65-65
Sağlık Bilimlerinde İleri Araştırmalar Dergisi
Sağlık Bilimlerinde İleri Araştırmalar Dergisi
The tremendous boost in the next generation sequencing technologies and in the “omics” technologies makes it possible to look for the coordinated behavior among different levels of biochemical activity. Irrespective of the technology used, the ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::566151b82b95d8614c210e61400b00df
https://dergipark.org.tr/tr/pub/sabiad/issue/72074/1137390
https://dergipark.org.tr/tr/pub/sabiad/issue/72074/1137390
Publikováno v:
PeerJ Computer Science, Vol 10, p e2333 (2024)
Cyberattacks are increasingly becoming more complex, which makes intrusion detection extremely difficult. Several intrusion detection approaches have been developed in the literature and utilized to tackle computer security intrusions. Implementing m
Externí odkaz:
https://doaj.org/article/7e1a1376284843e48da26c5400615a3f
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics in order to overcome the growing problems of antibiotic resistance. Computational prediction approaches receive an increasing interest to identify and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9578ed5ef7232d08f24f913d1458ec82
https://doi.org/10.20944/preprints202202.0175.v1
https://doi.org/10.20944/preprints202202.0175.v1
Publikováno v:
PeerJ Computer Science, Vol 10, p e2197 (2024)
Cardiovascular diseases (CVD) are a leading cause of mortality globally, necessitating the development of efficient diagnostic tools. Machine learning (ML) and metaheuristic algorithms have become prevalent in addressing these challenges, providing p
Externí odkaz:
https://doaj.org/article/dcba5ae69436484887bfdfe46bee74c1
Publikováno v:
PeerJ Computer Science, Vol 10, p e2060 (2024)
The increasing importance of healthcare records, particularly given the emergence of new diseases, emphasizes the need for secure electronic storage and dissemination. With these records dispersed across diverse healthcare entities, their physical ma
Externí odkaz:
https://doaj.org/article/f508e75e375f4b3ab7f33aaa99097187
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Numerous biological environments have been characterized with the advent of metagenomic sequencing using next generation sequencing which lays out the relative abundance values of microbial taxa. Modeling the human microbiome using machine learning m
Externí odkaz:
https://doaj.org/article/9fd90d4ac31d4bcbb9c63d948b43eb6a
Autor:
Laura Judith Marcos-Zambrano, Víctor Manuel López-Molina, Burcu Bakir-Gungor, Marcus Frohme, Kanita Karaduzovic-Hadziabdic, Thomas Klammsteiner, Eliana Ibrahimi, Leo Lahti, Tatjana Loncar-Turukalo, Xhilda Dhamo, Andrea Simeon, Alina Nechyporenko, Gianvito Pio, Piotr Przymus, Alexia Sampri, Vladimir Trajkovik, Blanca Lacruz-Pleguezuelos, Oliver Aasmets, Ricardo Araujo, Ioannis Anagnostopoulos, Önder Aydemir, Magali Berland, M. Luz Calle, Michelangelo Ceci, Hatice Duman, Aycan Gündoğdu, Aki S. Havulinna, Kardokh Hama Najib Kaka Bra, Eglantina Kalluci, Sercan Karav, Daniel Lode, Marta B. Lopes, Patrick May, Bram Nap, Miroslava Nedyalkova, Inês Paciência, Lejla Pasic, Meritxell Pujolassos, Rajesh Shigdel, Antonio Susín, Ines Thiele, Ciprian-Octavian Truică, Paul Wilmes, Ercument Yilmaz, Malik Yousef, Marcus Joakim Claesson, Jaak Truu, Enrique Carrillo de Santa Pau
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be challenging due to its complexity and high dimensionality. Machine learni
Externí odkaz:
https://doaj.org/article/7e8c2a9ec3074e74b5f235b502816b53
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
With the exponential growth in the daily publication of scientific articles, automatic classification and categorization can assist in assigning articles to a predefined category. Article titles are concise descriptions of the articles’ content wit
Externí odkaz:
https://doaj.org/article/eea73878057c4c0f898a28ac55cb1ee9
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-24 (2023)
Abstract Background Cell homeostasis relies on the concerted actions of genes, and dysregulated genes can lead to diseases. In living organisms, genes or their products do not act alone but within networks. Subsets of these networks can be viewed as
Externí odkaz:
https://doaj.org/article/d6cbb6f5475d4e0abe9c2a187a4856e8
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Introduction: Identifying significant sets of genes that are up/downregulated under specific conditions is vital to understand disease development mechanisms at the molecular level. Along this line, in order to analyze transcriptomic data, several co
Externí odkaz:
https://doaj.org/article/467206241eb14a6ca427aa874724d596