| Toward predictive models for drug-induced liver injury in humans: are we there yet? M Chen, H Bisgin, L Tong, H Hong, H Fang, J Borlak, W Tong Biomarkers in medicine 8 (2), 201-213, 2014 | 154 | 2014 |
| A study of homophily on social media H Bisgin, N Agarwal, X Xu World Wide Web 15 (2), 213-232, 2012 | 138 | 2012 |
| Comparing SVM and ANN based machine learning methods for species identification of food contaminating beetles H Bisgin, T Bera, H Ding, HG Semey, L Wu, Z Liu, AE Barnes, DA Langley, ... Scientific reports 8 (1), 6532, 2018 | 134 | 2018 |
| Mining FDA drug labels using an unsupervised learning technique-topic modeling H Bisgin, Z Liu, H Fang, X Xu, W Tong BMC bioinformatics 12, 1-8, 2011 | 131 | 2011 |
| Investigating homophily in online social networks H Bisgin, N Agarwal, X Xu 2010 IEEE/WIC/ACM international conference on web intelligence and …, 2010 | 110 | 2010 |
| Investigating drug repositioning opportunities in FDA drug labels through topic modeling H Bisgin, Z Liu, R Kelly, H Fang, X Xu, W Tong BMC bioinformatics 13, 1-9, 2012 | 81 | 2012 |
| Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction RO Bahado-Singh, A Yilmaz, H Bisgin, O Turkoglu, P Kumar, E Sherman, ... PloS one 14 (4), e0214121, 2019 | 65 | 2019 |
| Targeted metabolic profiling of urine highlights a potential biomarker panel for the diagnosis of Alzheimer’s disease and mild cognitive impairment: a pilot study A Yilmaz, Z Ugur, H Bisgin, S Akyol, R Bahado-Singh, G Wilson, K Imam, ... Metabolites 10 (9), 357, 2020 | 46 | 2020 |
| A phenome-guided drug repositioning through a latent variable model H Bisgin, Z Liu, H Fang, R Kelly, X Xu, W Tong BMC bioinformatics 15, 1-12, 2014 | 44 | 2014 |
| A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency W Jones, B Gong, N Novoradovskaya, D Li, R Kusko, TA Richmond, ... Genome biology 22, 1-38, 2021 | 41 | 2021 |
| Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer’s disease RO Bahado-Singh, S Vishweswaraiah, B Aydas, A Yilmaz, RP Metpally, ... PloS one 16 (3), e0248375, 2021 | 32 | 2021 |
| Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions B Gong, D Li, R Kusko, N Novoradovskaya, Y Zhang, S Wang, ... Genome biology 22, 1-23, 2021 | 28 | 2021 |
| Analyzing the dabiq magazine: the language and the propaganda structure of isis H Bisgin, H Arslan, Y Korkmaz Social, Cultural, and Behavioral Modeling: 12th International Conference …, 2019 | 24 | 2019 |
| Using natural language processing to analyze political party manifestos from New Zealand S Orellana, H Bisgin Information 14 (3), 152, 2023 | 22 | 2023 |
| Evaluation of bioinformatics approaches for next-generation sequencing analysis of microRNAs with a toxicogenomics study design H Bisgin, B Gong, Y Wang, W Tong Frontiers in Genetics 9, 22, 2018 | 20 | 2018 |
| The biochemical profile of post-mortem brain from people who suffered from epilepsy reveals novel insights into the etiopathogenesis of the disease AM Lalwani, A Yilmaz, H Bisgin, Z Ugur, S Akyol, SF Graham Metabolites 10 (6), 261, 2020 | 18 | 2020 |
| Parallel clustering algorithms with application to climatology H Bişgin Bilişim Enstitüsü, 2018 | 17 | 2018 |
| Species identification of food contaminating beetles by recognizing patterns in microscopic images of elytra fragments SI Park, H Bisgin, H Ding, HG Semey, DA Langley, W Tong, J Xu PLoS One 11 (6), e0157940, 2016 | 17 | 2016 |
| A systems approach for analysis of high content screening assay data with topic modeling H Bisgin, M Chen, Y Wang, R Kelly, H Fang, X Xu, W Tong BMC bioinformatics 14, 1-10, 2013 | 12 | 2013 |
| Diagnosis of long QT syndrome via support vector machines classification H Bisgin, OU Kilinc, A Ugur, X Xu, V Tuzcu Journal of Biomedical Science 4, 2011 | 12 | 2011 |