A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease M Brehme, C Voisine, T Rolland, S Wachi, J Soper, Y Zhu, K Orton, ... Cell Reports 9 (3), 1135-1150, 2014 | 578 | 2014 |
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 | 497 | 2016 |
TCGA-Assembler: Open-Source Software for Retrieving and Processing TCGA Data Y Zhu, P Qiu, Y Ji Nature Methods 11 (6), 599–600, 2014 | 391 | 2014 |
Nuclear envelope dystrophies show a transcriptional fingerprint suggesting disruption of Rb–MyoD pathways in muscle regeneration M Bakay, Z Wang, G Melcon, L Schiltz, J Xuan, P Zhao, V Sartorelli, J Seo, ... Brain 129 (4), 996-1013, 2006 | 354 | 2006 |
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 | 344 | 2016 |
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 | 210 | 2018 |
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 | 174 | 2015 |
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 | 163 | 2015 |
Converting tabular data into images for deep learning with convolutional neural networks Y Zhu, T Brettin, F Xia, A Partin, M Shukla, H Yoo, YA Evrard, ... Scientific reports 11 (1), 11325, 2021 | 128 | 2021 |
Initialization enhancer for non-negative matrix factorization Z Zheng, J Yang, Y Zhu Engineering Applications of Artificial Intelligence 20 (1), 101-110, 2007 | 106 | 2007 |
Using computer‐extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage ES Burnside, K Drukker, H Li, E Bonaccio, M Zuley, M Ganott, JM Net, ... Cancer 122 (5), 748-757, 2016 | 77 | 2016 |
Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling AC Yeh, H Li, Y Zhu, J Zhang, G Khramtsova, K Drukker, A Edwards, ... Cancer Imaging 19, 1-11, 2019 | 57 | 2019 |
Imaging-genomic study of head and neck squamous cell carcinoma: associations between radiomic phenotypes and genomic mechanisms via integration of the cancer genome atlas and … Y Zhu, ASR Mohamed, SY Lai, S Yang, A Kanwar, L Wei, M Kamal, ... JCO clinical cancer informatics 3, 1-9, 2019 | 57 | 2019 |
A cross-study analysis of drug response prediction in cancer cell lines F Xia, J Allen, P Balaprakash, T Brettin, C Garcia-Cardona, A Clyde, ... Briefings in bioinformatics 23 (1), bbab356, 2022 | 49 | 2022 |
Ensemble transfer learning for the prediction of anti-cancer drug response Y Zhu, T Brettin, YA Evrard, A Partin, F Xia, M Shukla, H Yoo, ... Scientific reports 10 (1), 18040, 2020 | 49 | 2020 |
A face detection and recognition system in color image series J Yang, X Ling, Y Zhu, Z Zheng Mathematics and Computers in Simulation 77 (5-6), 531-539, 2008 | 44 | 2008 |
A Nonparametric Bayesian Model for Local Clustering With Application to Proteomics J Lee, P Müller, Y Zhu, Y Ji Journal of the American Statistical Association 108 (503), 775-788, 2013 | 42 | 2013 |
An oncolytic adenovirus targeting transforming growth factor β inhibits protumorigenic signals and produces immune activation: a novel approach to enhance anti-PD-1 and anti … Y Yang, W Xu, D Peng, H Wang, X Zhang, H Wang, F Xiao, Y Zhu, Y Ji, ... Human gene therapy 30 (9), 1117-1132, 2019 | 41 | 2019 |
Zodiac: a comprehensive depiction of genetic interactions in cancer by integrating TCGA data Y Zhu, Y Xu, DL Helseth Jr, K Gulukota, S Yang, LL Pesce, R Mitra, ... Journal of the National Cancer Institute 107 (8), djv129, 2015 | 37 | 2015 |
Scalable Bayesian nonparametric clustering and classification Y Ni, P Müller, M Diesendruck, S Williamson, Y Zhu, Y Ji Journal of Computational and Graphical Statistics 29 (1), 53-65, 2020 | 28 | 2020 |