Large-scale de novo prediction of physical protein-protein association A Elefsinioti, ÖS Saraç, A Hegele, C Plake, NC Hubner, I Poser, M Sarov, ... Molecular & Cellular Proteomics 10 (11), 2011 | 62 | 2011 |
Extensive mass spectrometry-based analysis of the fission yeast proteome: the Schizosaccharomyces pombe PeptideAtlas J Gunaratne, A Schmidt, A Quandt, SP Neo, ÖS Saraç, T Gracia, ... Molecular & Cellular Proteomics 12 (6), 1741-1751, 2013 | 40 | 2013 |
Predicting the fission yeast protein interaction network V Pancaldi, ÖS Saraç, C Rallis, JR McLean, M Převorovský, K Gould, ... G3: Genes| Genomes| Genetics 2 (4), 453-467, 2012 | 40 | 2012 |
Subsequence-based feature map for protein function classification OS Sarac, Ö Gürsoy-Yüzügüllü, R Cetin-Atalay, V Atalay Computational biology and chemistry 32 (2), 122-130, 2008 | 36 | 2008 |
GOPred: GO molecular function prediction by combined classifiers ÖS Saraç, V Atalay, R Cetin-Atalay PloS one 5 (8), e12382, 2010 | 34 | 2010 |
Proteomic profiling of HBV infected liver biopsies with different fibrotic stages S Katrinli, K Ozdil, A Sahin, O Ozturk, G Kir, AT Baykal, E Akgun, OS Sarac, ... Proteome Science 15, 1-11, 2016 | 21 | 2016 |
Large‐scale automated function prediction of protein sequences and an experimental case study validation on PTEN transcript variants AS Rifaioglu, T Doğan, ÖS Saraç, T Ersahin, R Saidi, MV Atalay, ... Proteins: Structure, Function, and Bioinformatics 86 (2), 135-151, 2018 | 17 | 2018 |
The sbv IMPROVER systems toxicology computational challenge: identification of human and species-independent blood response markers as predictors of smoking exposure and … V Belcastro, C Poussin, Y Xiang, M Giordano, KP Tripathi, A Boda, ... Computational Toxicology 5, 38-51, 2018 | 14 | 2018 |
Topology of functional networks predicts physical binding of proteins ÖS Saraç, V Pancaldi, J Bähler, A Beyer Bioinformatics 28 (16), 2137-2145, 2012 | 10 | 2012 |
Gene selection and classification of pancreatic microarray datasets A Sserwadda, ÖS Saraç 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 3 | 2017 |
Gene regulatory network inference from gene expression dataset using autoencoder I Bilgen, ÖS Saraç 2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018 | 2 | 2018 |
Glasses detection in face images using histogram of Oriented Gradients H Gündüz, R Halepmollasi, ÖS Saraç 2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014 | 2 | 2014 |
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 ÖS Saraç, R Kumar, SK Dhanda, AT Balcı, İ Bilgen, R Romero, AL Tarca Computational Toxicology 5, 25-30, 2018 | 1 | 2018 |
A behavior-based robot control system using adaptive heuristic critic learning. ÖS Saraç Middle East Technical University, 2002 | 1 | 2002 |
Part/device certification process in aviation and test stages of TSI brand economy class aircraft seats with expanded screen size Ö Saraç Fen Bilimleri Enstitüsü, 2020 | | 2020 |
UniGOPred: A Large Scale Automated GO Term Annotation System for UniProtKB AS Rifaioğlu, T Doğan, ÖS Saraç, R Saidi, MV Atalay, MJ Martin, R Atalay null, 2017 | | 2017 |
Computational Toxicology V Belcastro, C Poussin, Y Xiang, M Giordano, KP Tripathi, A Boda, ... | | 2017 |
Subsequence profile map for protein fold recognition R Halepmollası, İ Bilgen, ÖS Saraç 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | | 2016 |
Determination of stage specific markers for liver fibrosis in hepatitis B: A comparative tissue proteomic study Ş Katrinli, K Özdil, A Şahin, O Öztürk, G Kır, AT Baykal, ÖS Saraç, ... EASL International Liver Congress, 2016 | | 2016 |
UniGOPred and ECPred Automated Function Prediction Tools Based on A Combination of Different Classifiers A Rifaioglu, T Dogan, ÖS Saraç, MV Atalay, M Martin, R Atalay null, 2015 | | 2015 |