299 related articles for article (PubMed ID: 27458587)
1. Feature Selection Methods for Early Predictive Biomarker Discovery Using Untargeted Metabolomic Data.
Grissa D; Pétéra M; Brandolini M; Napoli A; Comte B; Pujos-Guillot E
Front Mol Biosci; 2016; 3():30. PubMed ID: 27458587
[TBL] [Abstract][Full Text] [Related]
2. A comparative investigation of modern feature selection and classification approaches for the analysis of mass spectrometry data.
Gromski PS; Xu Y; Correa E; Ellis DI; Turner ML; Goodacre R
Anal Chim Acta; 2014 Jun; 829():1-8. PubMed ID: 24856395
[TBL] [Abstract][Full Text] [Related]
3. A random forest based biomarker discovery and power analysis framework for diagnostics research.
Acharjee A; Larkman J; Xu Y; Cardoso VR; Gkoutos GV
BMC Med Genomics; 2020 Nov; 13(1):178. PubMed ID: 33228632
[TBL] [Abstract][Full Text] [Related]
4. Robustness of chemometrics-based feature selection methods in early cancer detection and biomarker discovery.
Lee HW; Lawton C; Na YJ; Yoon S
Stat Appl Genet Mol Biol; 2013 Mar; 12(2):207-23. PubMed ID: 23502343
[TBL] [Abstract][Full Text] [Related]
5. SVM-RFE: selection and visualization of the most relevant features through non-linear kernels.
Sanz H; Valim C; Vegas E; Oller JM; Reverter F
BMC Bioinformatics; 2018 Nov; 19(1):432. PubMed ID: 30453885
[TBL] [Abstract][Full Text] [Related]
6. A Feature Selection Approach Guided an Early Prediction of Anthocyanin Accumulation Using Massive Untargeted Metabolomics Data in Mulberry.
Yu C; Dong Z; Jemaa E; Zhu Z; Mo R; Li Y; Deng W; Hu X; Zhang C; Han G
Plant Cell Physiol; 2022 May; 63(5):671-682. PubMed ID: 35247053
[TBL] [Abstract][Full Text] [Related]
7. An evolving computational platform for biological mass spectrometry: workflows, statistics and data mining with MASSyPup64.
Winkler R
PeerJ; 2015; 3():e1401. PubMed ID: 26618079
[TBL] [Abstract][Full Text] [Related]
8. A Conversation on Data Mining Strategies in LC-MS Untargeted Metabolomics: Pre-Processing and Pre-Treatment Steps.
Tugizimana F; Steenkamp PA; Piater LA; Dubery IA
Metabolites; 2016 Nov; 6(4):. PubMed ID: 27827887
[TBL] [Abstract][Full Text] [Related]
9. Variable importance analysis based on rank aggregation with applications in metabolomics for biomarker discovery.
Yun YH; Deng BC; Cao DS; Wang WT; Liang YZ
Anal Chim Acta; 2016 Mar; 911():27-34. PubMed ID: 26893083
[TBL] [Abstract][Full Text] [Related]
10. A comprehensive workflow of mass spectrometry-based untargeted metabolomics in cancer metabolic biomarker discovery using human plasma and urine.
Zou W; She J; Tolstikov VV
Metabolites; 2013 Sep; 3(3):787-819. PubMed ID: 24958150
[TBL] [Abstract][Full Text] [Related]
11. biosigner: A New Method for the Discovery of Significant Molecular Signatures from Omics Data.
Rinaudo P; Boudah S; Junot C; Thévenot EA
Front Mol Biosci; 2016; 3():26. PubMed ID: 27446929
[TBL] [Abstract][Full Text] [Related]
12. Robust biomarker discovery for hepatocellular carcinoma from high-throughput data by multiple feature selection methods.
Zhang Z; Liu ZP
BMC Med Genomics; 2021 Aug; 14(Suppl 1):112. PubMed ID: 34433487
[TBL] [Abstract][Full Text] [Related]
13. Proteomic data analysis workflow for discovery of candidate biomarker peaks predictive of clinical outcome for patients with acute myeloid leukemia.
Forshed J; Pernemalm M; Tan CS; Lindberg M; Kanter L; Pawitan Y; Lewensohn R; Stenke L; Lehtiö J
J Proteome Res; 2008 Jun; 7(6):2332-41. PubMed ID: 18452325
[TBL] [Abstract][Full Text] [Related]
14. Local false discovery rate estimation using feature reliability in LC/MS metabolomics data.
Chong EY; Huang Y; Wu H; Ghasemzadeh N; Uppal K; Quyyumi AA; Jones DP; Yu T
Sci Rep; 2015 Nov; 5():17221. PubMed ID: 26596774
[TBL] [Abstract][Full Text] [Related]
15. Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics.
Lin X; Li C; Zhang Y; Su B; Fan M; Wei H
Molecules; 2017 Dec; 23(1):. PubMed ID: 29278382
[TBL] [Abstract][Full Text] [Related]
16. A critical assessment of feature selection methods for biomarker discovery in clinical proteomics.
Christin C; Hoefsloot HC; Smilde AK; Hoekman B; Suits F; Bischoff R; Horvatovich P
Mol Cell Proteomics; 2013 Jan; 12(1):263-76. PubMed ID: 23115301
[TBL] [Abstract][Full Text] [Related]
17. Predictive Modeling for Metabolomics Data.
Ghosh T; Zhang W; Ghosh D; Kechris K
Methods Mol Biol; 2020; 2104():313-336. PubMed ID: 31953824
[TBL] [Abstract][Full Text] [Related]
18. Performance evaluate of different chemometrics formalisms used for prostate cancer diagnosis by NMR-based metabolomics.
Oliveira MF; de Albuquerque Neto MC; Leite TS; Alves PAA; Lima SVC; Silva RO
Metabolomics; 2023 Dec; 20(1):8. PubMed ID: 38127222
[TBL] [Abstract][Full Text] [Related]
19. Comprehensive evaluation of untargeted metabolomics data processing software in feature detection, quantification and discriminating marker selection.
Li Z; Lu Y; Guo Y; Cao H; Wang Q; Shui W
Anal Chim Acta; 2018 Oct; 1029():50-57. PubMed ID: 29907290
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]