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| Curcumin (diferuloylmethane) alters the expression profiles of microRNAs in human pancreatic cancer cells M Sun, Z Estrov, Y Ji, KR Coombes, DH Harris, R Kurzrock Molecular cancer therapeutics 7 (3), 464-473, 2008 | 519 | 2008 |
| MR imaging radiomics signatures for predicting the risk of breast cancer recurrence as given by research versions of MammaPrint, Oncotype DX, and PAM50 gene assays H Li, Y Zhu, ES Burnside, K Drukker, KA Hoadley, C Fan, SD Conzen, ... Radiology 281 (2), 382-391, 2016 | 518 | 2016 |
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| Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes SC Dentro, I Leshchiner, K Haase, M Tarabichi, J Wintersinger, ... Cell 184 (8), 2239-2254. e39, 2021 | 381 | 2021 |
| Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set H Li, Y Zhu, ES Burnside, E Huang, K Drukker, KA Hoadley, C Fan, ... NPJ breast cancer 2, 16012, 2016 | 369 | 2016 |
| Genomic heterogeneity as a barrier to precision medicine in gastroesophageal adenocarcinoma E Pectasides, MD Stachler, S Derks, Y Liu, S Maron, M Islam, L Alpert, ... Cancer discovery 8 (1), 37-48, 2018 | 304 | 2018 |
| A modified toxicity probability interval method for dose-finding trials Y Ji, P Liu, Y Li, B Nebiyou Bekele Clinical trials 7 (6), 653-663, 2010 | 296 | 2010 |
| TCGA-assembler 2: software pipeline for retrieval and processing of TCGA/CPTAC data L Wei, Z Jin, S Yang, Y Xu, Y Zhu, Y Ji Bioinformatics 34 (9), 1615-1617, 2018 | 226 | 2018 |
| Mocetinostat for relapsed classical Hodgkin's lymphoma: an open-label, single-arm, phase 2 trial A Younes, Y Oki, RG Bociek, J Kuruvilla, M Fanale, S Neelapu, ... The lancet oncology 12 (13), 1222-1228, 2011 | 226 | 2011 |
| Recommendations for clinical CYP2C19 genotyping allele selection: a report of the Association for Molecular Pathology VM Pratt, AL Del Tredici, H Hachad, Y Ji, LV Kalman, SA Scott, KE Weck The Journal of Molecular Diagnostics 20 (3), 269-276, 2018 | 209 | 2018 |
| Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratios G Yin, Y Li, Y Ji Biometrics 62 (3), 777-787, 2006 | 209 | 2006 |
| Modified toxicity probability interval design: a safer and more reliable method than the 3+ 3 design for practical phase I trials Y Ji, SJ Wang Journal of Clinical Oncology 31 (14), 1785-1791, 2013 | 206 | 2013 |
| Preemptive pharmacogenomic testing for precision medicine: a comprehensive analysis of five actionable pharmacogenomic genes using next-generation DNA sequencing and a … Y Ji, JM Skierka, JH Blommel, BE Moore, DL VanCuyk, JK Bruflat, ... The Journal of Molecular Diagnostics 18 (3), 438-445, 2016 | 193 | 2016 |
| Gemcitabine pharmacogenomics: cytidine deaminase and deoxycytidylate deaminase gene resequencing and functional genomics JA Gilbert, OE Salavaggione, Y Ji, LL Pelleymounter, BW Eckloff, ... Clinical cancer research 12 (6), 1794-1803, 2006 | 188 | 2006 |
| Deciphering genomic underpinnings of quantitative MRI-based radiomic phenotypes of invasive breast carcinoma Y Zhu, H Li, W Guo, K Drukker, L Lan, ML Giger, Y Ji Scientific reports 5 (1), 17787, 2015 | 183 | 2015 |
| Glycine and a Glycine Dehydrogenase (GLDC) SNP as Citalopram/Escitalopram Response Biomarkers in Depression: Pharmacometabolomics‐Informed … Y Ji, S Hebbring, H Zhu, GD Jenkins, J Biernacka, K Snyder, M Drews, ... Clinical Pharmacology & Therapeutics 89 (1), 97-104, 2011 | 177 | 2011 |
| Applications of beta-mixture models in bioinformatics Y Ji, C Wu, P Liu, J Wang, KR Coombes Bioinformatics 21 (9), 2118-2122, 2005 | 177 | 2005 |
| Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data W Guo, H Li, Y Zhu, L Lan, S Yang, K Drukker, E Morris, E Burnside, ... Journal of medical imaging 2 (4), 041007-041007, 2015 | 171 | 2015 |
Peter MuellerProfessor Statistics, University of TexasΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα math.utexas.edu
