Validation of Friedewald, Martin-Hopkins and Sampson low-density lipoprotein cholesterol equations G Ertürk Zararsız, S Bolat, A Cephe, N Kochan, Sİ Yerlitaş, HO Doğan, ... PLoS One 17 (5), e0263860, 2022 | 19 | 2022 |
An aggregated fuzzy naive bayes data classifier GY Tütüncü, N Kayaalp Journal of computational and applied mathematics 286, 17-27, 2015 | 18 | 2015 |
Different selection dynamics of S and RdRp between SARS-CoV-2 genomes with and without the dominant mutations N Koçhan, D Eskier, A Suner, G Karakülah, Y Oktay Infection, Genetics and Evolution 91, 104796, 2021 | 15 | 2021 |
A new local covariance matrix estimation for the classification of gene expression profiles in high dimensional RNA-Seq data N Kochan, GY Tütüncü, G Giner Expert Systems with Applications 167, 114200, 2021 | 8 | 2021 |
qtQDA: quantile transformed quadratic discriminant analysis for high-dimensional RNA-seq data N Koçhan, GY Tutuncu, GK Smyth, LC Gandolfo, G Giner PeerJ 7, e8260, 2019 | 8 | 2019 |
A fuzzy bayesian classifier with learned mahalanobis distance N Kayaalp, G Arslan International journal of intelligent systems 29 (8), 713-726, 2014 | 5 | 2014 |
Validation of low-density lipoprotein cholesterol equations in pediatric population GE Zararsız, S Bolat, A Cephe, N Kochan, SI Yerlitaş, HO Doğan, ... PeerJ 11, e14544, 2023 | 3 | 2023 |
Bioinformatics and biostatistics in precision medicine A Cephe, N Koçhan, EG Aksel, F İpekten, Sİ Yerlitaş, GE Zararsız, ... Oncology: Genomics, Precision Medicine and Therapeutic Targets, 189-235, 2023 | 1 | 2023 |
Concordance of LDL-C estimating equations with direct enzymatic measurement in diabetic and prediabetic subjects S Bolat, G Ertürk Zararsız, K Doğan, N Kochan, SI Yerlitaş, A Cephe, ... Journal of Clinical Medicine 12 (10), 3570, 2023 | 1 | 2023 |
Exploring free amino acid profiles in CCHF patients: Implications for disease progression SA Büyüktuna, Sİ Yerlitaş, GE Zararsız, K Doğan, D Kablan, G Bağcı, ... Journal of Medical Virology 96 (5), e29672, 2024 | | 2024 |
Class Discovery, Comparison, and Prediction Methods for RNA-Seq Data A Cephe, N Koçhan, GE Zararsız, V Eldem, G Zararsız Research Anthology on Bioinformatics, Genomics, and Computational Biology …, 2024 | | 2024 |
Classification of colon cancer patients into Consensus Molecular Subtypes using Support Vector Machines N Koçhan, BE Dayanç Turkish Journal of Biology 47 (6), 406-412, 2023 | | 2023 |
Estimation of LDL-C using machine learning models and its comparison with directly measured and calculated LDL-C in Turkish pediatric population N KOÇHAN Abant Tıp Dergisi 12 (1), 63-75, 2023 | | 2023 |
StemnesScoRe: an R package to estimate the stemness of glioma cancer cells at single-cell resolution N Koçhan, Y Oktay, G Karakülah Turkish Journal of Biology 47 (6), 383-392, 2023 | | 2023 |
Development of molecular subtype specific prognostic marker signature in immune response associated colon cancer through fuzzy based transcriptomic approach N Koçhan, BE Dayanc medRxiv, 2023.05. 18.23290045, 2023 | | 2023 |
voomSOM: voom-based Self-Organizing Maps for Clustering RNASequencing Data A Cephe, N Koçhan, G Zararsız, V Eldem, E Coşgun, E Karabulut, ... CURRENT BIOINFORMATICS 18 (DOI: 10.2174/1574893618666221205154712), 2022 | | 2022 |
Discovery of subtype specific markers through fuzzy logic and non-parametric approaches using Transcriptomic data in immune related Colon cancer N Kochan, BE Dayanç European Journal of Immunology, 2021 | | 2021 |
A new rna-seq data classifier based on quantile transformation N Koçhan İzmir Ekonomi Üniversitesi, 2020 | | 2020 |
Fuzzy Bayes classification N Kayaalp İzmir Ekonomi Üniversitesi, 2013 | | 2013 |