MAKALELER


SCI, SSCI ve AHCI tarafından taranan dergilerde yayımlanmış veya kabul edilmiş makaleler

Uluslararası
  • N.Koçhan , S.A.Büyüktuna , H.O.Doğan , G.Zararsız , S.İ.Yerlitaş , A.Cephe.
    (2024) Exploring free amino acid profiles in Crimean‐Congo hemorrhagic fever patients: Implications for disease progression.
    Journal Of Medical Virology , Vol. 96, No. 5, ISBN: 0146-6615
  • N.Koçhan , Y.Oktay , G.Karakülah.
    (2023) StemnesScoRe: an R package to estimate the stemness of glioma cancer cells at single-cell resolution.
    Turkish Journaal Of Biology , Vol. 47 , No. 6, 383-392,
  • N.Koçhan , B.E.Dayanç.
    (2023) Classification of colon cancer patients into Consensus Molecular Subtypes using Support Vector Machines.
    Turkish Journal Of Biology , Vol. 47, No. 6, 406-412,
  • G.Ertürk Zararsız , S.Bolat , A.Cephe , N.Koçhan , S.Yerlitaş , H.O.Doğan , G.Zararsız.
    (2022) Validation of Friedewald, Martin-Hopkins and Sampson low-density lipoprotein cholesterol equations.
    PLoS One , Vol. 17, No. 5,
  • N.Koçhan , G.Y.Tütüncü , G.Giner.
    (2021) A new local covariance matrix estimation for the classification of gene expression profiles in high dimensional RNA-Seq data.
    Expert Systems With Applications , Vol. 167,
  • N.Koçhan , G.Y.Tütüncü , G.K.Smyth , L.C.Gandolfo , G.Giner.
    (2019) qtQDA: quantile transformed quadratic discriminant analysis for high-dimensional RNA-seq data.
    PeerJ , Vol. 7,
  • G.Y.Tütüncü , N.Kayaalp.
    (2015) An Aggregated Fuzzy Naive Bayes Data Classifier.
    Journal Of Computational And Applied Mathematics ,
  • N.Kayaalp , G.Arslan.
    (2014) A Fuzzy Bayesian Classifier with Learned Mahalanobis Distance.
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS , Vol. 29, No. 8, 713-726,

Hakemli dergilerde yayımlanmış veya kabul edilmiş makaleler

Ulusal
  • N.Koçhan.
    (2023) Estimation of LDL-C using machine learning models and its comparison with directly measured and calculated LDL-C in Turkish pediatric population.
    Abant Medical Journal , Vol. 12, No. 1, 63-75,