Toplam kayıt 4, listelenen: 1-4

    • A Content-Based Retrieval Framework for Whole Metagenome Sequencing Samples 

      Sener, Duygu Dede; Santoni, Daniele; Felici, Giovanni; Ogul, Hasan (2018)
      Finding similarities and differences between metagenomic samples within large repositories has been rather a significant issue for researchers. Over the recent years, content-based retrieval has been suggested by various ...
    • Inferring Similarity between Time-Series Microarrays: A Content-based Approach 

      Sener, Duygu Dede; Ogul, Hasan (2015)
      Public repositories for gene expression studies have been growing rapidly in the last decade. Retrieval of gene expression experiments based on textual descriptions does not provide sufficient data for biologists and ...
    • Multiclass Classification of Brain Cancer with Machine Learning Algorithms 

      Erkal, Begum; Basak, Selen; Ciloglu, Alper; Sener, Duygu Dede (2020)
      Brain cancer is one the most important disease to be treated all around the world. Classification of brain cancer using machine learning techniques has been widely studied by researchers. Microarray gene expression data ...
    • Text-based Experiment Retrieval in Genomic Databases 

      Sener, Duygu Dede; Ogul, Hasan; Basak, Selen (2022)
      With the growing number of genomic data in public repositories, efficient search methodologies have become a basic need to reach the relevant genomic data. However, this need cannot be fulfilled with the current repositories ...