Lingli Deng

发表

Colorectal cancer detection using targeted serum metabolic profiling.

Daniel Raftery, Jiangjiang Zhu, Danijel Djukovic, 2014, Journal of proteome research.

A clustering-based preprocessing method for the elimination of unwanted residuals in metabolomic data

J. Griffin, K. Cheng, G. Shen, 2016, Metabolomics.

Combining NMR and LC/MS Using Backward Variable Elimination: Metabolomics Analysis of Colorectal Cancer, Polyps, and Healthy Controls.

Daniel Raftery, Jiangjiang Zhu, Danijel Djukovic, 2016, Analytical chemistry.

Molecular network strategy in multi-omics and mass spectrometry imaging.

Z. Cai, Jiyang Dong, Lingli Deng, 2022, Current opinion in chemical biology.

iMS2Net: A multiscale networking methodology to decipher metabolic synergy of organism

J. Liu, Zongwei Cai, Jiyang Dong, 2022, iScience.

Non-negative principal component analysis for NMR-based metabolomic data analysis

Zhong Chen, Julian L. Griffin, Lingli Deng, 2012 .

Global metabolic network reorganization by adaptive mutations allows fast growth of Escherichia coli on glycerol

Masaru Tomita, Martin Robert, Tomoyoshi Soga, 2014, Nature Communications.

Targeted metabolic profiling of wounds in diabetic and nondiabetic mice

D. Raftery, Haiwei Gu, Danijel Djukovic, 2015, Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society.

Targeted serum metabolite profiling and sequential metabolite ratio analysis for colorectal cancer progression monitoring

D. Raftery, Jiangjiang Zhu, M. A. Abu Zaid, 2015, Analytical and Bioanalytical Chemistry.

Concordance-Based Batch Effect Correction for Large-Scale Metabolomics.

D. Raftery, K. Cheng, Jiyang Dong, 2023, Analytical chemistry.

Identifying Significant Metabolic Pathways Using Multi-Block Partial Least Squares Analysis.

Daniel Raftery, Jiangjiang Zhu, Lingli Deng, 2020, Journal of proteome research.

A clustering-based preprocessing method for the elimination of unwanted residuals in metabolomic data

J. Griffin, K. Cheng, G. Shen, 2016, Metabolomics.

Magnetic resonance imaging for the non-invasive diagnosis in patients with ovarian cancer

W. Xia, Ping Liu, Lingli Deng, 2020, Medicine.

Altered metabolite levels and correlations in patients with colorectal cancer and polyps detected using seemingly unrelated regression analysis

D. Raftery, Jiangjiang Zhu, Dabao Zhang, 2017, Metabolomics.

Exploring Metabolic Profile Differences between Colorectal Polyp Patients and Controls Using Seemingly Unrelated Regression.

J. Pekny, D. Raftery, M. A. Abu Zaid, 2015, Journal of proteome research.

iMSEA: A Novel Metabolite Set Enrichment Analysis Strategy to Decipher Drug Interactions.

Xiaomin Wang, D. Raftery, K. Cheng, 2023, Analytical chemistry.

Application of Band-Selective HSQC NMR in Species Discrimination and Adulteration Identification of Panax Linn

K. Cheng, Jiyang Dong, Lingli Deng, 2023, Molecules.

NMR-based Metabolite Profiling of Pancreatic Cancer

Bowei Xi, Daniel Raftery, Lingli Deng, 2015 .

Targeted metabolic profiling of wounds in diabetic and nondiabetic mice

D. Raftery, Haiwei Gu, Danijel Djukovic, 2015, Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society.

Altered metabolite levels and correlations in patients with colorectal cancer and polyps detected using seemingly unrelated regression analysis

D. Raftery, Jiangjiang Zhu, Dabao Zhang, 2017, Metabolomics.

Sparse PLS-Based Method for Overlapping Metabolite Set Enrichment Analysis.

Daniel Raftery, Jiyang Dong, Xiangnan Xu, 2021, Journal of proteome research.

A sparse partial least squares algorithm based on sure independence screening method

K. Cheng, Jiyang Dong, Xiangnan Xu, 2017 .