Yazar "35094213400 [Kazan, Hilal]" için Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering listeleme

Toplam kayıt 17, listelenen: 1-17

    • Chemogenomics and orthology‐based design of antibiotic combination therapies 

      Chandrasekaran, Sriram; Çokol-Çakmak, Melike; Şahin, Nil; Yılancıoğlu, Kaan; Kazan, Hilal; Collins, James J.; Çokol, Murat (Molecular Systems Biology, 2016)
      Combination antibiotic therapies are being increasingly used in the clinic to enhance potency and counter drug resistance. However, the large search space of candidate drugs and dosage regimes makes the identification ...

    • A comprehensive database of high-throughput sequencing-based RNA secondary structure probing data (structure surfer) 

      Berkowitz, Nathan D.; Silverman, Ian M.; Childress, Daniel M.; Kazan, Hilal; Wang, Li-San; Gregory, Brian D. (BMC Bioinformatics, 2016)
      Background: RNA molecules fold into complex three-dimensional shapes, guided by the pattern of hydrogen bonding between nucleotides. This pattern of base pairing, known as RNA secondary structure, is critical to their ...

    • Inferring RBP-mediated regulation in lung squamous cell carcinoma 

      Lafzi, Atefeh; Kazan, Hilal (Plos One, 2016)
      RNA-binding proteins (RBPs) play key roles in post-transcriptional regulation of mRNAs. Dysregulations in RBP-mediated mechanisms have been found to be associated with many steps of cancer initiation and progression. Despite ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • A translational repression complex in developing mammalian neural stem cells that regulates neuronal specification 

      Zahr, Siraj K.; Yang, Guang; Kazan, Hilal; Borrett, Michael J.; Voronova, Anastassia; Kaplan, David R.; Miller, Freda D. (Neuron, 2018)
      The mechanisms instructing genesis of neuronal sub-types from mammalian neural precursors are not well understood. To address this issue, we have characterized the transcriptional landscape of radial glial precursors (RPs) ...