Search Results - "Sarac, Omer Sinan"

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  1. 1

    Large‐scale automated function prediction of protein sequences and an experimental case study validation on PTEN transcript variants by Rifaioglu, Ahmet Sureyya, Doğan, Tunca, Saraç, Ömer Sinan, Ersahin, Tulin, Saidi, Rabie, Atalay, Mehmet Volkan, Martin, Maria Jesus, Cetin‐Atalay, Rengul

    “…Recent advances in computing power and machine learning empower functional annotation of protein sequences and their transcript variations. Here, we present an…”
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    Journal Article
  2. 2

    Proteomic profiling of HBV infected liver biopsies with different fibrotic stages by Katrinli, Seyma, Ozdil, Kamil, Sahin, Abdurrahman, Ozturk, Oguzhan, Kir, Gozde, Baykal, Ahmet Tarik, Akgun, Emel, Sarac, Omer Sinan, Sokmen, Mehmet, Doğanay, H Levent, Dinler Doğanay, Gizem

    Published in Proteome science (20-04-2017)
    “…Hepatitis B virus (HBV) is a global health problem, and infected patients if left untreated may develop cirrhosis and eventually hepatocellular carcinoma. This…”
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    Journal Article
  3. 3

    GOPred: GO molecular function prediction by combined classifiers by Saraç, Omer Sinan, Atalay, Volkan, Cetin-Atalay, Rengul

    Published in PloS one (31-08-2010)
    “…Functional protein annotation is an important matter for in vivo and in silico biology. Several computational methods have been proposed that make use of a…”
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    Journal Article
  4. 4

    Topology of functional networks predicts physical binding of proteins by SARAC, Omer Sinan, PANCALDI, Vera, BÄHLER, Jurg, BEYER, Andreas

    Published in Bioinformatics (15-08-2012)
    “…It has been recognized that the topology of molecular networks provides information about the certainty and nature of individual interactions. Thus, network…”
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    Journal Article
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    Subsequence-based feature map for protein function classification by Sarac, Omer Sinan, Gürsoy-Yüzügüllü, Özge, Cetin-Atalay, Rengul, Atalay, Volkan

    Published in Computational biology and chemistry (01-04-2008)
    “…Automated classification of proteins is indispensable for further in vivo investigation of excessive number of unknown sequences generated by large scale…”
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    Journal Article
  8. 8

    Gene regulatory network inference from gene expression dataset using autoencoder by Bilgen, Ismail, Sarac, Omer Sinan

    “…Genes, specific stretches of DNA sequences, encode for gene products to perform a number of biological functions required for life. Gene expression is the…”
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    Conference Proceeding
  9. 9

    Gene selection and classification of pancreatic microarray datasets by Sserwadda, Abubakhari, Sarac, Omer Sinan

    “…Microarray data is measured with numerous features, selection of the most important genes from such data sets is an essential step towards maximizing…”
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    Conference Proceeding
  10. 10

    Prediction of return in online shopping by Bilgen, Ismail, Sarac, Omer Sinan

    “…Mail order business gains popularity day by day. One major problem for the retailers is the high return rates. The incurred cost of returns forces companies to…”
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    Conference Proceeding
  11. 11

    Subsequence profile map for protein fold recognition by Halepmollasi, Rusen, Bilgen, Ismail, Sarac, Omer Sinan

    “…Information belonging to 3D structures of the proteins, which are the most fundamental macromolecules of life, plays a key role in bioinformatics studies…”
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    Conference Proceeding
  12. 12

    Glasses detection in face images using histogram of Oriented Gradients by Gunduz, Hakan, Halepmollasi, Rusen, Sarac, Omer Sinan

    “…Glasses detection is one of attractive tasks in image processing since it increases the performance of face recognition systems. In this study, we aimed to…”
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    Conference Proceeding
  13. 13

    A Novel Model-based Method for Feature Extraction from Protein Sequences for Classification by Sarac, Omer Sinan, Atalay, Volkan, Atalay, Rengul Cetin

    “…Representation of amino-acid sequences constitutes the key point in classification of proteins into functional or structural classes. The representation should…”
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    Conference Proceeding
  14. 14

    Large-scale De Novo Prediction of Physical Protein-Protein Association by Elefsinioti, Antigoni, Saraç, Ömer Sinan, Hegele, Anna, Plake, Conrad, Hubner, Nina C., Poser, Ina, Sarov, Mihail, Hyman, Anthony, Mann, Matthias, Schroeder, Michael, Stelzl, Ulrich, Beyer, Andreas

    Published in Molecular & cellular proteomics (01-11-2011)
    “…Information about the physical association of proteins is extensively used for studying cellular processes and disease mechanisms. However, complete…”
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    Journal Article
  15. 15

    Species translatable blood gene signature as a marker of exposure to smoking: Computational approaches of the top ranked teams in the sbv IMPROVER Systems Toxicology Challenge by Saraç, Ömer Sinan, Kumar, Rahul, Dhanda, Sandeep Kumar, Balcı, Ali Tuğrul, Bilgen, İsmail, Romero, Roberto, Tarca, Adi L.

    Published in Computational toxicology (01-02-2018)
    “…•Common blood mRNAs predict current exposure to cigarette smoke in mouse and human.•Organism specific signature is more accurate for prediction of current…”
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    Journal Article
  16. 16

    Extensive Mass Spectrometry-based Analysis of the Fission Yeast Proteome by Gunaratne, Jayantha, Schmidt, Alexander, Quandt, Andreas, Neo, Suat Peng, Saraç, Ömer Sinan, Gracia, Tannia, Loguercio, Salvatore, Ahrné, Erik, Xia, Rachel Li Hai, Tan, Keng Hwa, Lössner, Christopher, Bähler, Jürg, Beyer, Andreas, Blackstock, Walter, Aebersold, Ruedi

    Published in Molecular & cellular proteomics (01-06-2013)
    “…We report a high quality and system-wide proteome catalogue covering 71% (3,542 proteins) of the predicted genes of fission yeast, Schizosaccharomyces pombe,…”
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    Journal Article
  17. 17

    Subsequence Feature Maps for Protein Function Annotation by Saraç, Ömer Sinan

    Published 01-01-2008
    “…With the advances in sequencing technologies, the number of protein sequences with unknown function increases rapidly. Hence, computational methods for…”
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    Dissertation