A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium Nature biotechnology 32 (9), 903-914, 2014 | 860 | 2014 |
Comparison of RNA-seq and microarray-based models for clinical endpoint prediction Genome Biology 16, 2015 | 409 | 2015 |
Misuse of RPKM or TPM normalization when comparing across samples and sequencing protocols S Zhao, Z Ye, R Stanton Rna 26 (8), 903-909, 2020 | 319 | 2020 |
Opportunities for drug repositioning from phenome-wide association studies M Rastegar-Mojarad, Z Ye, JM Kolesar, SJ Hebbring, SM Lin Nature biotechnology 33 (4), 342-345, 2015 | 133 | 2015 |
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures SA Munro, SP Lund, PS Pine, H Binder, DA Clevert, A Conesa, J Dopazo, ... Nature communications 5 (1), 5125, 2014 | 128 | 2014 |
A PheWAS approach in studying HLA-DRB1* 1501 SJ Hebbring, SJ Schrodi, Z Ye, Z Zhou, D Page, MH Brilliant Genes & Immunity 14 (3), 187-191, 2013 | 108 | 2013 |
Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants JH Karnes, L Bastarache, CM Shaffer, S Gaudieri, Y Xu, AM Glazer, ... Science Translational Medicine 9 (389), eaai8708, 2017 | 105 | 2017 |
Genetic-based prediction of disease traits: prediction is very difficult, especially about the future† SJ Schrodi, S Mukherjee, Y Shan, G Tromp, JJ Sninsky, AP Callear, ... Frontiers in genetics 5, 162, 2014 | 79 | 2014 |
Collecting and analyzing patient experiences of health care from social media M Rastegar-Mojarad, Z Ye, D Wall, N Murali, S Lin JMIR research protocols 4 (3), e3433, 2015 | 70 | 2015 |
Adverse drug event discovery using biomedical literature: a big data neural network adventure AP Tafti, J Badger, E LaRose, E Shirzadi, A Mahnke, J Mayer, Z Ye, ... JMIR medical informatics 5 (4), e9170, 2017 | 60 | 2017 |
Sparktext: Biomedical text mining on big data framework Z Ye, AP Tafti, KY He, K Wang, MM He PloS one 11 (9), e0162721, 2016 | 55 | 2016 |
Phenome-wide association studies (PheWASs) for functional variants Z Ye, J Mayer, L Ivacic, Z Zhou, M He, SJ Schrodi, D Page, MH Brilliant, ... European Journal of Human Genetics 23 (4), 523-529, 2015 | 47 | 2015 |
Anti-TL1A antibody PF-06480605 safety and efficacy for ulcerative colitis: a phase 2a single-arm study S Danese, M Klopocka, EJ Scherl, J Romatowski, JR Allegretti, E Peeva, ... Clinical Gastroenterology and Hepatology 19 (11), 2324-2332. e6, 2021 | 46 | 2021 |
Application of clinical text data for phenome-wide association studies (PheWASs) SJ Hebbring, M Rastegar-Mojarad, Z Ye, J Mayer, C Jacobson, S Lin Bioinformatics 31 (12), 1981-1987, 2015 | 44 | 2015 |
Phenome-wide association study maps new diseases to the human major histocompatibility complex region J Liu, Z Ye, JG Mayer, BA Hoch, C Green, L Rolak, C Cold, SS Khor, ... Journal of medical genetics 53 (10), 681-689, 2016 | 43 | 2016 |
The nasal microbiota of dairy farmers is more complex than oral microbiota, reflects occupational exposure, and provides competition for staphylococci SK Shukla, Z Ye, S Sandberg, I Reyes, TR Fritsche, M Keifer PloS one 12 (8), e0183898, 2017 | 41 | 2017 |
Medical care providers’ perspectives on dental information needs in electronic health records A Acharya, N Shimpi, A Mahnke, R Mathias, Z Ye The Journal of the American Dental Association 148 (5), 328-337, 2017 | 39 | 2017 |
Genome wide association study of SNP-, gene-, and pathway-based approaches to identify genes influencing susceptibility to Staphylococcus aureus infections Z Ye, DA Vasco, TC Carter, MH Brilliant, SJ Schrodi, SK Shukla Frontiers in genetics 5, 125, 2014 | 39 | 2014 |
Prevalence estimation for monogenic autosomal recessive diseases using population-based genetic data SJ Schrodi, A DeBarber, M He, Z Ye, P Peissig, JJ Van Wormer, R Haws, ... Human genetics 134, 659-669, 2015 | 38 | 2015 |
Proteomics, lipidomics, metabolomics, and 16S DNA sequencing of dental plaque from patients with diabetes and periodontal disease KA Overmyer, TW Rhoads, AE Merrill, Z Ye, MS Westphall, A Acharya, ... Molecular & cellular proteomics 20, 2021 | 31 | 2021 |