| Colorectal cancer detection using targeted serum metabolic profiling J Zhu, D Djukovic, L Deng, H Gu, F Himmati, EG Chiorean, D Raftery Journal of proteome research 13 (9), 4120-4130, 2014 | 224 | 2014 |
| Global metabolic network reorganization by adaptive mutations allows fast growth of Escherichia coli on glycerol KK Cheng, BS Lee, T Masuda, T Ito, K Ikeda, A Hirayama, L Deng, J Dong, ... Nature communications 5 (1), 3233, 2014 | 113 | 2014 |
| Targeted serum metabolite profiling and sequential metabolite ratio analysis for colorectal cancer progression monitoring J Zhu, D Djukovic, L Deng, H Gu, F Himmati, M Abu Zaid, EG Chiorean, ... Analytical and bioanalytical chemistry 407, 7857-7863, 2015 | 70 | 2015 |
| Combining NMR and LC/MS using backward variable elimination: metabolomics analysis of colorectal cancer, polyps, and healthy controls L Deng, H Gu, J Zhu, GA Nagana Gowda, D Djukovic, EG Chiorean, ... Analytical chemistry 88 (16), 7975-7983, 2016 | 62 | 2016 |
| Dynamics of rumor spreading in mobile social networks H Wang, JH Han, L Deng, KQ Cheng | 41 | 2013 |
| Exploring metabolic profile differences between colorectal polyp patients and controls using seemingly unrelated regression C Chen, L Deng, S Wei, GA Nagana Gowda, H Gu, EG Chiorean, ... Journal of Proteome Research 14 (6), 2492-2499, 2015 | 40 | 2015 |
| Targeted metabolic profiling of wounds in diabetic and nondiabetic mice RF Sood, H Gu, D Djukovic, L Deng, M Ga, LA Muffley, D Raftery, ... Wound Repair and Regeneration 23 (3), 423-434, 2015 | 28 | 2015 |
| Altered metabolite levels and correlations in patients with colorectal cancer and polyps detected using seemingly unrelated regression analysis C Chen, GA Nagana Gowda, J Zhu, L Deng, H Gu, EG Chiorean, ... Metabolomics 13, 1-10, 2017 | 26 | 2017 |
| Identifying significant metabolic pathways using multi-block partial least-squares analysis L Deng, F Guo, KK Cheng, J Zhu, H Gu, D Raftery, J Dong Journal of proteome research 19 (5), 1965-1974, 2020 | 15 | 2020 |
| Sparse PLS-based method for overlapping metabolite set enrichment analysis L Deng, L Ma, KK Cheng, X Xu, D Raftery, J Dong Journal of Proteome Research 20 (6), 3204-3213, 2021 | 13 | 2021 |
| Molecular network strategy in multi-omics and mass spectrometry imaging C Zhao, J Dong, L Deng, Y Tan, W Jiang, Z Cai Current Opinion in Chemical Biology 70, 102199, 2022 | 11 | 2022 |
| Non-negative principal component analysis for NMR-based metabolomic data analysis L Deng, KK Cheng, J Dong, JL Griffin, Z Chen Chemometrics and Intelligent Laboratory Systems 118, 51-61, 2012 | 10 | 2012 |
| iMS2Net: a multiscale networking methodology to decipher metabolic synergy of organism J Dong, Q Peng, L Deng, J Liu, W Huang, X Zhou, C Zhao, Z Cai Iscience 25 (9), 2022 | 9 | 2022 |
| iMSEA: a novel metabolite set enrichment analysis strategy to decipher drug interactions Y Wang, X Liu, L Dong, KK Cheng, C Lin, X Wang, J Dong, L Deng, ... Analytical Chemistry 95 (15), 6203-6211, 2023 | 7 | 2023 |
| NMR-based metabolite profiling of pancreatic cancer K Owusu-Sarfo, V M Asiago, L Deng, H Gu, S Wei, N Shanaiah, ... Current Metabolomics 2 (3), 204-212, 2014 | 6 | 2014 |
| A sparse partial least squares algorithm based on sure independence screening method X Xu, KK Cheng, L Deng, J Dong Chemometrics and Intelligent Laboratory Systems 170, 38-50, 2017 | 5 | 2017 |
| New variable scaling method for NMR-based metabolomics data analysis D Ji-Yang, L Wei, D Ling-Li, X Jing-Jing, JL Griffin, C Zhong Chemical Journal of Chinese Universities-Chinese 32 (2), 262-268, 2011 | 5 | 2011 |
| Differential correlations informed metabolite set enrichment analysis to decipher metabolic heterogeneity of disease G Lin, L Dong, KK Cheng, X Xu, Y Wang, L Deng, D Raftery, J Dong Analytical Chemistry 95 (33), 12505-12513, 2023 | 3 | 2023 |
| A novel network modelling for metabolite set analysis: a case study on crc metabolomics Y Liu, X Xu, L Deng, KK Cheng, J Xu, D Raftery, J Dong IEEE Access 8, 106425-106436, 2020 | 3 | 2020 |
| A clustering-based preprocessing method for the elimination of unwanted residuals in metabolomic data W Wang, KK Cheng, L Deng, J Xu, G Shen, JL Griffin, J Dong Metabolomics 13, 1-11, 2017 | 3 | 2017 |
