249 related articles for article (PubMed ID: 33087122)
21. Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data.
El-Manzalawy Y; Hsieh TY; Shivakumar M; Kim D; Honavar V
BMC Med Genomics; 2018 Sep; 11(Suppl 3):71. PubMed ID: 30255801
[TBL] [Abstract][Full Text] [Related]
22. Cancer survival classification using integrated data sets and intermediate information.
Kim S; Park T; Kon M
Artif Intell Med; 2014 Sep; 62(1):23-31. PubMed ID: 24997860
[TBL] [Abstract][Full Text] [Related]
23. Screening of Prognostic Factors in Early-Onset Breast Cancer.
Yu Z; He Q; Xu G
Technol Cancer Res Treat; 2020; 19():1533033819893670. PubMed ID: 32028860
[TBL] [Abstract][Full Text] [Related]
24. Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data.
Glaab E; Bacardit J; Garibaldi JM; Krasnogor N
PLoS One; 2012; 7(7):e39932. PubMed ID: 22808075
[TBL] [Abstract][Full Text] [Related]
25. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
26. FS-GBDT: identification multicancer-risk module via a feature selection algorithm by integrating Fisher score and GBDT.
Zhang J; Xu D; Hao K; Zhang Y; Chen W; Liu J; Gao R; Wu C; De Marinis Y
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 34020547
[TBL] [Abstract][Full Text] [Related]
27. Robust edge-based biomarker discovery improves prediction of breast cancer metastasis.
Adnan N; Lei C; Ruan J
BMC Bioinformatics; 2020 Sep; 21(Suppl 14):359. PubMed ID: 32998692
[TBL] [Abstract][Full Text] [Related]
28. A comparison of rule-based and centroid single-sample multiclass predictors for transcriptomic classification.
Eriksson P; Marzouka NA; Sjödahl G; Bernardo C; Liedberg F; Höglund M
Bioinformatics; 2022 Jan; 38(4):1022-1029. PubMed ID: 34788787
[TBL] [Abstract][Full Text] [Related]
29. Speeding up the discovery of combinations of differentially expressed genes for disease prediction and classification.
Khamesipour A; Kagaris D
Comput Methods Programs Biomed; 2019 Mar; 170():69-80. PubMed ID: 30712605
[TBL] [Abstract][Full Text] [Related]
30. Subtype prediction in pediatric acute myeloid leukemia: classification using differential network rank conservation revisited.
Obulkasim A; Fornerod M; Zwaan MC; Reinhardt D; van den Heuvel-Eibrink MM
BMC Bioinformatics; 2015 Sep; 16():305. PubMed ID: 26399969
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Negative correlation based gene markers identification in integrative gene expression data.
Zeng T; Guo X; Liu J
Int J Data Min Bioinform; 2014; 10(1):1-17. PubMed ID: 25757251
[TBL] [Abstract][Full Text] [Related]
33. Automated Detection of Cancer Associated Genes Using a Combined Fuzzy-Rough-Set-Based F-Information and Water Swirl Algorithm of Human Gene Expression Data.
Ganesh Kumar P; Kavitha MS; Ahn BC
PLoS One; 2016; 11(12):e0167504. PubMed ID: 27936033
[TBL] [Abstract][Full Text] [Related]
34. Stable feature selection utilizing Graph Convolutional Neural Network and Layer-wise Relevance Propagation for biomarker discovery in breast cancer.
Chereda H; Leha A; Beißbarth T
Artif Intell Med; 2024 May; 151():102840. PubMed ID: 38658129
[TBL] [Abstract][Full Text] [Related]
35. Classification between normal and tumor tissues based on the pair-wise gene expression ratio.
Yap Y; Zhang X; Ling MT; Wang X; Wong YC; Danchin A
BMC Cancer; 2004 Oct; 4():72. PubMed ID: 15469618
[TBL] [Abstract][Full Text] [Related]
36. An efficient statistical feature selection approach for classification of gene expression data.
Chandra B; Gupta M
J Biomed Inform; 2011 Aug; 44(4):529-35. PubMed ID: 21241823
[TBL] [Abstract][Full Text] [Related]
37. A combinational feature selection and ensemble neural network method for classification of gene expression data.
Liu B; Cui Q; Jiang T; Ma S
BMC Bioinformatics; 2004 Sep; 5():136. PubMed ID: 15450124
[TBL] [Abstract][Full Text] [Related]
38. The tspair package for finding top scoring pair classifiers in R.
Leek JT
Bioinformatics; 2009 May; 25(9):1203-4. PubMed ID: 19276151
[TBL] [Abstract][Full Text] [Related]
39. A unified computational model for revealing and predicting subtle subtypes of cancers.
Ren X; Wang Y; Wang J; Zhang XS
BMC Bioinformatics; 2012 May; 13():70. PubMed ID: 22548981
[TBL] [Abstract][Full Text] [Related]
40. Predicting novel salivary biomarkers for the detection of pancreatic cancer using biological feature-based classification.
Liu HJ; Guo YY; Li DJ
Pathol Res Pract; 2017 Apr; 213(4):394-399. PubMed ID: 28283209
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
