Ara
Toplam kayıt 11, listelenen: 1-10
Multi fragment melting analysis system (MFMAS) for one-step identification of lactobacilli
(ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2020)
The accurate identification of lactobacilli is essential for the effective management of industrial practices associated with lactobacilli strains, such as the production of fermented foods or probiotic supplements. For ...
Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis
(ELSEVIER, 2023)
Coronary artery disease (CAD) is a condition in which the heart is not fed sufficiently as a result of the accumulation of fatty matter. As reported by the World Health Organization, around 32% of the total deaths in the ...
Blockchain-based Fog Computing Applications in Healthcare
(IEEE, 2020)
— Son zamanlarda blokzincir teknolojisinin sağlık
alanında kullanımı artmıştır. Blokzincir teknolojisinin sağlık
alanına getirdiği birçok yenilik olmasına rağmen, halen çözülmeyi
bekleyen problemleri mevcuttur. Bu ...
A Top-Down Approach for Finding Affected Pathway Subnetworks in Type 2 Diabetes
(IEEE, 2020)
Diyabet (Diabetes Mellitus, DM), insülin üreten
pankreas beta hücrelerindeki fonksiyon bozukluğu, insülin direnci
veya insülinin işlevselliğinin bozulması ile meydana gelen bir tür
metabolik bozukluktur. Diyabet vakalarının ...
Developing a label propagation approach for cancer subtype classification problem
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA 00000, TURKEY, 2022)
Cancer is a disease in which abnormal cells grow uncontrollably and invade other tissues. Several types of cancer have various
subtypes with different clinical and biological implications. Based on these differences, ...
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease
(Institute of Electrical and Electronics Engineers Inc., 2021)
Behçet's Disease (BD) is a multi-system inflammatory disorder in which the etiology remains unclear. The most probable hypothesis is that genetic tendency and environmental factors play roles in the development of BD. In ...
Topological feature generation for link prediction in biological networks
(PEERJ INC, 2023)
Graph or network embedding is a powerful method for extracting missing or
potential information from interactions between nodes in biological networks. Graph
embedding methods learn representations of nodes and interactions ...
Population Specific Classification of Colorectal Cancer with Meta-Analysis of Metagenomic Data
(Institute of Electrical and Electronics Engineers Inc., 2023)
Yeni nesil dizilemedeki ve "-omik"
teknolojilerdeki gelişmeler, insan bağırsak mikrobiyomunu
karakterize etmeyi mümkün kılmaktadır. Bu
mikroorganizmaların bazıları bağışıklık sistemimizin temel
düzenleyicileriyken, ...
The Effect of Different Classifiers on Recursive Cluster Elimination in the Analysis of Transcriptomic Data
(Institute of Electrical and Electronics Engineers Inc., 2023)
Gene expression data with limited sample size and
a large number of genes are frequently encountered in genetic
studies. In such high-dimensional data, identification of genes
that distinguish between disease states is ...
Effect of Recursive Cluster Elimination with Different Clustering Algorithms Applied to Gene Expression Data
(Institute of Electrical and Electronics Engineers Inc., 2023)
Feature selection (FS) is an effective tool in
dealing with high dimensionality and reducing computational
cost. Support Vector Machines – Recursive Cluster Elimination
(SVM-RCE) is one of several algorithms that have ...