124 related articles for article (PubMed ID: 27640811)
1. Evaluating feature-selection stability in next-generation proteomics.
Goh WW; Wong L
J Bioinform Comput Biol; 2016 Oct; 14(5):1650029. PubMed ID: 27640811
[TBL] [Abstract][Full Text] [Related]
2. Feature selection and nearest centroid classification for protein mass spectrometry.
Levner I
BMC Bioinformatics; 2005 Mar; 6():68. PubMed ID: 15788095
[TBL] [Abstract][Full Text] [Related]
3. Fuzzy-FishNET: a highly reproducible protein complex-based approach for feature selection in comparative proteomics.
Goh WW
BMC Med Genomics; 2016 Dec; 9(Suppl 3):67. PubMed ID: 28117654
[TBL] [Abstract][Full Text] [Related]
4. A machine-learning approach for predicting palmitoylation sites from integrated sequence-based features.
Li L; Luo Q; Xiao W; Li J; Zhou S; Li Y; Zheng X; Yang H
J Bioinform Comput Biol; 2017 Feb; 15(1):1650025. PubMed ID: 27411307
[TBL] [Abstract][Full Text] [Related]
5. Class-paired Fuzzy SubNETs: A paired variant of the rank-based network analysis family for feature selection based on protein complexes.
Goh WWB; Wong L
Proteomics; 2017 May; 17(10):e1700093. PubMed ID: 28390171
[TBL] [Abstract][Full Text] [Related]
6. In-depth analysis of protein inference algorithms using multiple search engines and well-defined metrics.
Audain E; Uszkoreit J; Sachsenberg T; Pfeuffer J; Liang X; Hermjakob H; Sanchez A; Eisenacher M; Reinert K; Tabb DL; Kohlbacher O; Perez-Riverol Y
J Proteomics; 2017 Jan; 150():170-182. PubMed ID: 27498275
[TBL] [Abstract][Full Text] [Related]
7. Functional genomics and proteomics in the clinical neurosciences: data mining and bioinformatics.
Phan JH; Quo CF; Wang MD
Prog Brain Res; 2006; 158():83-108. PubMed ID: 17027692
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Advancing Clinical Proteomics via Analysis Based on Biological Complexes: A Tale of Five Paradigms.
Goh WW; Wong L
J Proteome Res; 2016 Sep; 15(9):3167-79. PubMed ID: 27454466
[TBL] [Abstract][Full Text] [Related]
10. Deep Omics.
Tran NH; Zhang X; Li M
Proteomics; 2018 Jan; 18(2):. PubMed ID: 29239117
[TBL] [Abstract][Full Text] [Related]
11. Deeper investigation into the utility of functional class scoring in missing protein prediction from proteomics data.
Zhao Y; Sue AC; Goh WWB
J Bioinform Comput Biol; 2019 Apr; 17(2):1950013. PubMed ID: 31057071
[TBL] [Abstract][Full Text] [Related]
12. The feature selection bias problem in relation to high-dimensional gene data.
Krawczuk J; Łukaszuk T
Artif Intell Med; 2016 Jan; 66():63-71. PubMed ID: 26674595
[TBL] [Abstract][Full Text] [Related]
13. Shape-based feature matching improves protein identification via LC-MS and tandem MS.
Noy K; Towfic F; Wittenberg GM; Fasulo D
J Comput Biol; 2011 Apr; 18(4):547-57. PubMed ID: 21417940
[TBL] [Abstract][Full Text] [Related]
14. Feature Selection Methods for Protein Biomarker Discovery from Proteomics or Multiomics Data.
Shi Z; Wen B; Gao Q; Zhang B
Mol Cell Proteomics; 2021; 20():100083. PubMed ID: 33887487
[TBL] [Abstract][Full Text] [Related]
15. Set-Based Test Procedures for the Functional Analysis of Protein Lists from Differential Analysis.
Kruppa J; Jung K
Methods Mol Biol; 2016; 1362():143-56. PubMed ID: 26519175
[TBL] [Abstract][Full Text] [Related]
16. Laplacian linear discriminant analysis approach to unsupervised feature selection.
Niijima S; Okuno Y
IEEE/ACM Trans Comput Biol Bioinform; 2009; 6(4):605-14. PubMed ID: 19875859
[TBL] [Abstract][Full Text] [Related]
17. Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data.
Conrad TO; Genzel M; Cvetkovic N; Wulkow N; Leichtle A; Vybiral J; Kutyniok G; Schütte C
BMC Bioinformatics; 2017 Mar; 18(1):160. PubMed ID: 28274197
[TBL] [Abstract][Full Text] [Related]
18. Robust feature selection for microarray data based on multicriterion fusion.
Yang F; Mao KZ
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(4):1080-92. PubMed ID: 21566255
[TBL] [Abstract][Full Text] [Related]
19. Integrative analysis to select cancer candidate biomarkers to targeted validation.
Kawahara R; Meirelles GV; Heberle H; Domingues RR; Granato DC; Yokoo S; Canevarolo RR; Winck FV; Ribeiro AC; Brandão TB; Filgueiras PR; Cruz KS; Barbuto JA; Poppi RJ; Minghim R; Telles GP; Fonseca FP; Fox JW; Santos-Silva AR; Coletta RD; Sherman NE; Paes Leme AF
Oncotarget; 2015 Dec; 6(41):43635-52. PubMed ID: 26540631
[TBL] [Abstract][Full Text] [Related]
20. Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting.
Gertheiss J; Tutz G
Bioinformatics; 2009 Apr; 25(8):1076-7. PubMed ID: 19233895
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
