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1.
Identifying the potential miRNA biomarkers based on multi-view networks and reinforcement learning for diseases.
Brief Bioinform
; 25(1)2023 11 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-38018913
2.
Ex vivo instability of lipids in whole blood: preanalytical recommendations for clinical lipidomics studies.
J Lipid Res
; 64(6): 100378, 2023 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-37087100
3.
Data analysis methods for defining biomarkers from omics data.
Anal Bioanal Chem
; 414(1): 235-250, 2022 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-34951658
4.
A new feature selection method based on feature distinguishing ability and network influence.
J Biomed Inform
; 128: 104048, 2022 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-35248795
5.
Prognosis prediction of hepatocellular carcinoma after surgical resection based on serum metabolic profiling from gas chromatography-mass spectrometry.
Anal Bioanal Chem
; 413(12): 3153-3165, 2021 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-33796932
6.
Differential metabolic network construction for personalized medicine: Study of type 2 diabetes mellitus patients' response to gliclazide-modified-release-treated.
J Biomed Inform
; 118: 103796, 2021 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-33932596
7.
Liquid Chromatography-Mass Spectrometry-Based Nontargeted Metabolomics Predicts Prognosis of Hepatocellular Carcinoma after Curative Resection.
J Proteome Res
; 19(8): 3533-3541, 2020 08 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-32618195
8.
A novel analysis method for biomarker identification based on horizontal relationship: identifying potential biomarkers from large-scale hepatocellular carcinoma metabolomics data.
Anal Bioanal Chem
; 411(24): 6377-6386, 2019 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-31384984
9.
Ion-Pair Selection Method for Pseudotargeted Metabolomics Based on SWATH MS Acquisition and Its Application in Differential Metabolite Discovery of Type 2 Diabetes.
Anal Chem
; 90(19): 11401-11408, 2018 10 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-30148611
10.
Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics.
Molecules
; 23(1)2017 Dec 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-29278382
11.
DA-SRN: Omics data analysis based on the sample network optimization for complex diseases.
Comput Biol Med
; 164: 107252, 2023 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-37454504
12.
Dynamic Network Construction for Identifying Early Warning Signals Based On a Data-Driven Approach: Early Diagnosis Biomarker Discovery for Gastric Cancer.
IEEE/ACM Trans Comput Biol Bioinform
; 20(2): 923-931, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-35594220
13.
Multiomics characterization of fatty acid metabolism for the clinical management of hepatocellular carcinoma.
Sci Rep
; 13(1): 22472, 2023 12 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-38110715
14.
A Novel Method for Constructing Classification Models by Combining Different Biomarker Patterns.
IEEE/ACM Trans Comput Biol Bioinform
; 19(2): 786-794, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-32894721
15.
A network-based dynamic criterion for identifying prediction and early diagnosis biomarkers of complex diseases.
J Bioinform Comput Biol
; 20(6): 2250027, 2022 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-36573886
16.
A computational strategy for metabolic network construction based on the overlapping ratio: Study of patients' metabolic responses to different dialysis patterns.
Comput Biol Chem
; 93: 107539, 2021 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-34246891
17.
Metabolome-Genome-Wide Association Study (mGWAS) Reveals Novel Metabolites Associated with Future Type 2 Diabetes Risk and Susceptibility Loci in a Case-Control Study in a Chinese Prospective Cohort.
Glob Chall
; 5(4): 2000088, 2021 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-33854788
18.
Analyzing omics data by pair-wise feature evaluation with horizontal and vertical comparisons.
J Pharm Biomed Anal
; 157: 20-26, 2018 Aug 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-29754039
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