Now showing items 1-13 of 13

    • Bi-k-bi clustering: mining large scale gene expression data using two-level biclustering 

      Çarkacioǧlu, L.; Atalay, R.; Konu, O.; Atalay, V.; Can, T. (Inderscience Enterprises Ltd., 2010)
      Due to the increase in gene expression data sets in recent years, various data mining techniques have been proposed for mining gene expression profiles. However, most of these methods target single gene expression data ...
    • HandVR: a hand-gesture-based interface to a video retrieval system 

      Genç, S.; Baştan M.; Güdükbay, Uğur; Atalay, V.; Ulusoy, Özgür (Springer U K, 2015)
      Using one’s hands in human–computer interaction increases both the effectiveness of computer usage and the speed of interaction. One way of accomplishing this goal is to utilize computer vision techniques to develop ...
    • Identification of Novel Reference Genes Based on MeSH Categories 

      Ersahin, T.; Carkacioglu, L.; Can, T.; Konu, O.; Atalay, V.; Cetin Atalay, R. (PLoS ONE, 2014)
      Transcriptome experiments are performed to assess protein abundance through mRNA expression analysis. Expression levels of genes vary depending on the experimental conditions and the cell response. Transcriptome data must ...
    • Implicit motif distribution based hybrid computational kernel for sequence classification 

      Atalay, V.; Cetin Atalay, R. (Oxford University Press, 2005)
      Motivation: We designed a general computational kernel for classification problems that require specific motif extraction and search from sequences. Instead of searching for explicit motifs, our approach finds the distribution ...
    • A novel model-based method for feature extraction from protein sequences for classification 

      Saraç, Ö. S.; Atalay, V.; Çetin-Atalay, Rengül (IEEE, 2006)
      Representation of amino-acid sequences constitutes the key point in classification of proteins into functional or structural classes. The representation should contain the biologically meaningful information hidden in the ...
    • Prediction of protein subcellular localization based on primary sequence data 

      Özarar, M.; Atalay, V.; Atalay, R. Ç. (Springer-Verlag Berlin, 2003)
      This paper describes a system called prediction of protein subcellular localization (P2SL) that predicts the subcellular localization of proteins in eukaryotic organisms based on the amino acid content of primary sequences ...
    • Prediction of protein subcellular localization based on primary sequence data 

      Özarar, M.; Atalay, V.; Çetin-Atalay, Rengül (IEEE, 2004)
      Subcellular localization is crucial for determining the functions of proteins. A system called prediction of protein subcellular localization (P2SL) that predicts the subcellular localization of proteins in eukaryotic ...
    • Short time series microarray data analysis and biological annotation 

      Sökmen, Z.; Atalay, V.; Çetin-Atalay, Rengül (IEEE, 2008)
      Significant gene list is the result of microarray data analysis should be explained for the purpose of biological functions. The aim of this study is to extract the biologically related gene clusters over the short time ...
    • A signal transduction score flow algorithm for cyclic cellular pathway analysis, which combines transcriptome and ChIP-seq data 

      Isik, Z.; Ersahin, T.; Atalay, V.; Aykanat, Cevdet; Cetin Atalay, R. (Royal Society of Chemistry, 2012)
      Determination of cell signalling behaviour is crucial for understanding the physiological response to a specific stimulus or drug treatment. Current approaches for large-scale data analysis do not effectively incorporate ...
    • Subband domain coding of binary textual images for document archiving 

      Gerek, Ö. N.; Çetin, A. Enis; Tewfik, A. H.; Atalay, V. (Institute of Electrical and Electronics Engineers, 1999-10)
      In this work, a subband domain textual image compression method is developed. The document image is first decomposed into subimages using binary subband decompositions. Next, the character locations in the subbands and the ...
    • Subsequence-based feature map for protein function classification 

      Sarac, O. S.; Gürsoy-Yüzügüllü, O.; Cetin Atalay, R.; Atalay, V. (Elsevier, 2008)
      Automated classification of proteins is indispensable for further in vivo investigation of excessive number of unknown sequences generated by large scale molecular biology techniques. This study describes a discriminative ...
    • Vision-based continuous Graffiti™-like text entry system 

      Erdem, İ. A.; Erdem, M. E.; Atalay, V.; Çetin, A. Enis (SPIE, 2004)
      It is now possible to design real-time, low-cost computer version systems even in personal computers due to the recent advances in electronics and the computer industry. Due to this reason, it is feasible to develop ...
    • Vision-based single-stroke character recognition for wearable computing 

      Özer, Ö. F.; Özün, O.; Tüzel, C. Ö.; Atalay, V.; Çetin, A. Enis (IEEE, 2001)
      Particularly when compared to traditional tools such as a keyboard or mouse, wearable computing data entry tools offer increased mobility and flexibility. Such tools include touch screens, hand gesture and facial expression ...