| A comprehensive genomic pan-cancer classification using The Cancer Genome Atlas gene expression data Y Li, K Kang, JM Krahn, N Croutwater, K Lee, DM Umbach, L Li BMC genomics 18, 1-13, 2017 | 203 | 2017 |
| Nearest neighbor imputation using spatial–temporal correlations in wireless sensor networks YY Li, LE Parker Information Fusion 15, 64-79, 2014 | 125 | 2014 |
| Revealing a human p53 universe TAT Nguyen, SA Grimm, PR Bushel, J Li, Y Li, BD Bennett, CA Lavender, ... Nucleic Acids Research 46 (16), 8153-8167, 2018 | 90 | 2018 |
| Intruder detection using a wireless sensor network with an intelligent mobile robot response YY Li, LE Parker IEEE SoutheastCon 2008, 37-42, 2008 | 87 | 2008 |
| Characterization of constitutive CTCF/cohesin loci: a possible role in establishing topological domains in mammalian genomes Y Li, W Huang, L Niu, DM Umbach, S Covo, L Li BMC genomics 14, 1-12, 2013 | 80 | 2013 |
| A spatial-temporal imputation technique for classification with missing data in a wireless sensor network YY Li, LE Parker 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 80 | 2008 |
| HNF4α regulates sulfur amino acid metabolism and confers sensitivity to methionine restriction in liver cancer Q Xu, Y Li, X Gao, K Kang, JG Williams, L Tong, J Liu, M Ji, LJ Deterding, ... Nature communications 11 (1), 3978, 2020 | 72 | 2020 |
| CDSeq: A novel complete deconvolution method for dissecting heterogeneous samples using gene expression data K Kang, Q Meng, I Shats, DM Umbach, M Li, Y Li, X Li, L Li PLoS computational biology 15 (12), e1007510, 2019 | 50 | 2019 |
| Predicting tumor response to drugs based on gene-expression biomarkers of sensitivity learned from cancer cell lines Y Li, DM Umbach, JM Krahn, I Shats, X Li, L Li BMC genomics 22, 1-18, 2021 | 43 | 2021 |
| Detecting and monitoring time-related abnormal events using a wireless sensor network and mobile robot YY Li, LE Parker 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 42 | 2008 |
| Classification with missing data in a wireless sensor network YY Li, LE Parker IEEE southeastcon 2008, 533-538, 2008 | 38 | 2008 |
| Putative biomarkers for predicting tumor sample purity based on gene expression data Y Li, DM Umbach, A Bingham, QJ Li, Y Zhuang, L Li BMC genomics 20, 1-12, 2019 | 35 | 2019 |
| Putative genomic characteristics of BRAF V600K versus V600E cutaneous melanoma Y Li, DM Umbach, L Li Melanoma research 27 (6), 527-535, 2017 | 27 | 2017 |
| A data-driven predictive approach for drug delivery using machine learning techniques YY Li, SC Lenaghan, M Zhang PLoS One 7 (2), e31724, 2012 | 24 | 2012 |
| Towards predicting metastatic progression of melanoma based on gene expression data LL Y Li, JM Krahn, GP Flake, DM Umbach Pigment Cell & Melanoma Research, 2015 | 22 | 2015 |
| Non-targeted urinary metabolomics in pregnancy and associations with fetal growth restriction CM Clinton, JR Bain, MJ Muehlbauer, YY Li, L Li, SK O’Neal, BL Hughes, ... Scientific reports 10 (1), 1-8, 2020 | 21 | 2020 |
| Glypican 6 is a putative biomarker for metastatic progression of cutaneous melanoma Y Li, M Li, I Shats, JM Krahn, GP Flake, DM Umbach, X Li, L Li PLoS One 14 (6), e0218067, 2019 | 19 | 2019 |
| CDSeqR: fast complete deconvolution for gene expression data from bulk tissues K Kang, C Huang, Y Li, DM Umbach, L Li BMC bioinformatics 22, 1-12, 2021 | 11 | 2021 |
| Monitoring the Environmental Impact of TiONanoparticles Using a Plant-Based Sensor Network SC Lenaghan, Y Li, H Zhang, JN Burris, CN Stewart, LE Parker, M Zhang IEEE transactions on nanotechnology 12 (2), 182-189, 2013 | 11 | 2013 |
| Knockoff boosted tree for model-free variable selection T Jiang, Y Li, AA Motsinger-Reif Bioinformatics 37 (7), 976-983, 2021 | 10 | 2021 |
Lynne E. ParkerAssociate Vice Chancellor Emerita, University of Tennessee在 utk.edu 的电子邮件经过验证
