Toplam kayıt 34, listelenen: 14-33

    • MEXCOwalk: mutual exclusion and coverage based random walk to identify cancer modules 

      Ahmed, Rafsan; Baali, Ilyes; Erten, Cesim; Hoxha, Evis; Kazan, Hilal (Bioinformatics, 2019)
      Motivation: Genomic analyses from large cancer cohorts have revealed the mutational heterogeneity problem which hinders the identification of driver genes based only on mutation profiles. One way to tackle this problem ...
    • miR-223 exerts translational control of proatherogenic genes in macrophages 

      Nguyen, My-Anh; Hoang, Huy-Dung; Rasheed, Adil; Duchez, Anne-Claire; Wyatt, Hailey; Cottee, Mary Lynn; Graber, Tyson E.; Susser, Leah; Robichaud, Sabrina; Berber, İbrahim; Geoffrion, Michele; Ouimet, Mireille; Kazan, Hilal; Maegdefessel, Lars; Mulvihill, Erin E.; Alain, Tommy; Rayner, Katey J. (AHA Journals, 2022)
      Background: A significant burden of atherosclerotic disease is driven by inflammation. Recently, microRNAs (miRNAs) have emerged as important factors driving and protecting from atherosclerosis. miR-223 regulates cholesterol ...
    • MITF-MIR211 axis is a novel autophagy amplifier system during cellular stress 

      Öztürk, Deniz Gülfem; Koçak, Muhammed; Akçay, Arzu; Kınoğlu, Kubilay; Kara, Erdoğan; Büyük, Yalçın; Kazan, Hilal; Gözüaçık, Devrim (Autophagy, 2019)
      Macroautophagy (autophagy) is an evolutionarily conserved recycling and stress response mechanism. Active at basal levels in eukaryotes, autophagy is upregulated under stress providing cells with building blocks such as ...
    • Modeling gene regulation in liver hepatocellular carcinoma with random forests 

      Kazan, Hilal (BioMed Research International, 2016)
      Liver hepatocellular carcinoma (HCC) remains a leading cause of cancer-related death. Poor understanding of the mechanisms underlying HCC prevents early detection and leads to high mortality. We developed a random forest ...
    • Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation 

      HafezQorani, Saber; Lafzi, Atefeh; Bruin, Ruben G. de; Zonneveld, Anton Jan van; Veer, Eric P. van der; Aydın Son, Yeşim; Kazan, Hilal (Nucleic Acids Research, 2016)
      Recent studies show that RNA-binding proteins (RBPs) and microRNAs (miRNAs) function in coordination with each other to control post-transcriptional regulation (PTR). Despite this, the majority of research to date has ...
    • A network-centric framework for the evaluation of mutual exclusivity tests on cancer drivers 

      Ahmed, Rafsan; Erten, Cesim; Houdjedj, Aissa; Kazan, Hilal; Yalcin, Cansu (Frontiers in Genetics, 2021)
      One of the key concepts employed in cancer driver gene identification is that of mutual exclusivity (ME); a driver mutation is less likely to occur in case of an earlier mutation that has common functionality in the same ...
    • A new multi-party private set intersection protocol based on OPRFs 

      Bay, Aslı; Kayan, Anıl (Muğla Journal of Science and Technology, 2022-06-28)
      In many crucial real-world applications, parties must jointly perform some secure multi-party computation (MPC) while keeping their inputs hidden from other parties. Private Set Intersection (PSI), the specific area of ...
    • A novel fuzzy random forest model for meteorological drought classification and prediction in ungauged catchments 

      Danandeh Mehr, Ali; Tür, Rıfat; Cafer Çalışkan; Taş, Erkin (Pure and Applied Geophysics, 2020)
      This paper presents a new tree-based model, namely Fuzzy Random Forest (FRF), for one month ahead Standardized Precipitation Evapotranspiration Index (SPEI) classification and prediction with a noteworthy application in ...
    • PersonaDrive: a method for the identification and prioritization of personalized cancer drivers 

      Erten, Cesim; Houdjedj, Aissa; Kazan, Hilal; Taleb Bahmed, Ahmed Amine (Bioinformatics, 2022)
      Motivation: A major challenge in cancer genomics is to distinguish the driver mutations that are causally linked to cancer from passenger mutations that do not contribute to cancer development. The majority of existing ...
    • Predicting clinical outcomes in neuroblastoma with genomic data integration 

      Baali, Ilyes; Acar, D. Alp Emre; Aderinwale, Tunde W.; HafezQorani, Saber; Kazan, Hilal (Biology Direct, 2018)
      Background: Neuroblastoma is a heterogeneous disease with diverse clinical outcomes. Current risk group models require improvement as patients within the same risk group can still show variable prognosis. Recently collected ...
    • Prediction of VLDL cholesterol value with machine learning techniques 

      Çalışkan, Cafer; Uysal, İlhan (Springer, 2021)
      Cholesterol is an oil-like substance that is found in the membranes of animal cells and also carried in blood plasma, which has some vital functions in the human body, especially in the endocrine and digestive systems. ...
    • Quaking promotes monocyte differentiation into pro-atherogenic macrophages by controlling pre-mRNA splicing and gene expression 

      Bruin, Ruben G. de; Shiue, Lily; Prins, Jurrien; Boer, Hetty C. de; Singh, Anjana; Fagg, W. Samuel; Gils, Janine M. vans; Duijs, Jacques M. G. J.; Katzman, Sol; Kraaijeveld, Adriaan O.; Bohringer, Stefan; Leung, Wai Y.; Kielbasa, Szymon M.; Donahue, John P.; Zande, Patrick H. J. van der; Sijbom, Rick; Alem, Carla M. A. van; Bot, Ilze; Kooten, Cees van; Jukema, J. Wouter; Van Esch, Hilde; Rabelink, Ton J.; Kazan, Hilal; Biessen, Erik A. L.; Ares, Manuel; Zonneveld, Anton Jan van; Veer, Eric P. van der (Nature Communications, 2016)
      A hallmark of inflammatory diseases is the excessive recruitment and influx of monocytes to sites of tissue damage and their ensuing differentiation into macrophages. Numerous stimuli are known to induce transcriptional ...
    • Ranking cancer drivers via betweenness-based outlier detection and random walks 

      Erten, Cesim; Houdjedj, Aissa; Kazan, Hilal (BMC Bioinformatics, 2021)
      Background Recent cancer genomic studies have generated detailed molecular data on a large number of cancer patients. A key remaining problem in cancer genomics is the identification of driver genes. Results We propose ...
    • RBPmotif: a web server for the discovery of sequence and structure preferences of RNA-binding proteins 

      Kazan, Hilal; Morris, Quaid (Nucleic acids research, 2013)
      RBPmotif web server (http://www.rnamotif.org) implements tools to identify binding preferences of RNA-binding proteins (RBPs). Given a set of sequences that are known to be bound and unbound by the RBP of interest, RBPmotif ...
    • RBPSponge: genome-wide identification of lncRNAs that sponge RBPs 

      HafezQorani, Saber; Houdjedj, Aissa; Arıcı, Mehmet; Said, Abdesselam; Kazan, Hilal (Bioinformatics, 2019)
      Long non-coding RNAs (lncRNAs) can act as molecular sponge or decoys for an RNA-binding protein (RBP) through their RBP-binding sites, thereby modulating the expression of all target genes of the corresponding RBP of ...
    • SCITUNA: a network alignment approach for integrating multiple single-cell RNA-Seq datasets 

      Doğan, Onur; Erten, Burak Onur; Erten, Cesim; Houdjedj, Aissa; Kazan, Hilal; Krichen, Mohamed; Marouf, Yacine (15th International Symposium on Health Informatics and Bioinformatics, 2022)
      The throughput and cost of single-cell RNA sequencing (scRNA-seq) are in continuous improvement, and so is the demand for larger-scale scRNA-seq data, which could require integrating multiple datasets from different ...
    • Sex-biased expression of neuroimmune guidance cues in cardiovascular diseases 

      Marouf, Yacine; Doğan, Onur S.; Benavente, Ernest Diez; Pasterkamp, Gerard; den Ruijter, Hester M.; van Gils, Janine; Rayner, Katey; Kazan, Hilal (15th International Symposium on Health Informatics and Bioinformatics, 2022)
      Atherosclerotic vascular disease continues to be a leader of morbidity and mortality. Although sex hormones are known to play a role in this lipid- and inflammatory-driven disease, the underlying mechanisms are largely ...
    • Sparse data embedding and prediction by tropical matrix factorization 

      Omanović, Amra; Kazan, Hilal; Oblak, Polona; Curk, Tomaž (BMC Bioinformatics, 2021)
      Background Matrix factorization methods are linear models, with limited capability to model complex relations. In our work, we use tropical semiring to introduce non-linearity into matrix factorization models. We propose ...
    • Structure of conflict graphs in constraint alignment problems and algorithms 

      Alkan, Ferhat; Bıyıkoğlu, Türker; Demange, Marc; Erten, Cesim (Discrete Mathematics Theoretical Computer Science, 2019)
      We consider the constrained graph alignment problem which has applications in biological network analysis. Given two input graphs G1 = (V1, E1), G2 = (V2, E2), two vertices u1, v1 of G1 paired respectively to two vertices ...
    • Target-independent prediction of drug synergies using only drug lipophilicity 

      Kazan, Hilal; Yılancıoğlu, Kaan; Weinstein, Zohar B.; Meydan, Cem; Akhmetov, Azat; Toprak, Işıl; Durmaz, Arda; Iossifov, Ivan; Roth, Frederick P.; Çokol, Murat (Journal of Chemical Information and Modeling, 2014)
      Physicochemical properties of compounds have been instrumental in selecting lead compounds with increased drug-likeness. However, the relationship between physicochemical properties of constituent drugs and the tendency ...