Toplam kayıt 35, listelenen: 21-35

    • Community assessment of the predictability of cancer protein and phosphoprotein levels from genomics and transcriptomics 

      Kazan, Hilal; many other, authors (Cell Systems, 2020)
      Cancer is driven by genomic alterations, but the processes causing this disease are largely performed by proteins. However, proteins are harder and more expensive to measure than genes and transcripts. To catalyze developments ...
    • DriveWays: a method for identifying possibly overlapping driver pathways in cancer 

      Baali, Ilyes; Erten, Cesim; Kazan, Hilal (Nature Research, 2020)
      The majority of the previous methods for identifying cancer driver modules output nonoverlapping modules. This assumption is biologically inaccurate as genes can participate in multiple molecular pathways. This is particularly ...
    • 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 ...
    • 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. ...
    • Global alignment of PPI networks 

      Erten, Cesim (Springer, 2021)
      Given multiple PPI networks from different species, the global PPI network alignment problem is that of providing a global mapping between the nodes of the networks or subnetworks within them. Functional orthology detection, ...
    • 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 ...
    • 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 ...
    • A hybrid movie recommender system and rating prediction model 

      Çalışkan, Cafer; Sanwal, Muhammad (International Journal of Information Technology and Applied Sciences, 2021-07-01)
      In the current era, a rapid increase in data volume produces redundant information on the internet. This predicts the appropriate items for users a great challenge in information systems. As a result, recommender systems ...
    • 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 ...
    • Identification and prioritization of personalized cancer drivers 

      Erten, Cesim; Houdjedj, Aissa; Kazan, Hilal; Taleb, Ahmed Amine (German Conference on Bioinformatics, 2022)
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • The P-body protein 4E-T represses translation to regulate the balance between cell genesis and establishment of the postnatal NSC pool 

      Kolaj, Adelaida; Zahr, Siraj K.; Wang, Beatrix S.; Krawec, Taylor; Kazan, Hilal; Yang, Guang; Kaplan, David R.; Miller, Freda D. (Elsevier, 2023)
      Here, we ask how developing precursors maintain the balance between cell genesis for tissue growth and establishment of adult stem cell pools, focusing on postnatal forebrain neural precursor cells (NPCs). We show that ...