Robust Feature Selection Approach for Patient Classification using Gene Expression Data

Patient classification through feature selection (FS) based on gene expression data (GED) has already become popular to the research communities. T-test is the well-known statistical FS method in GED analysis. However, it produces higher false positives and lower accuracies for small sample sizes or...

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Veröffentlicht in:Bioinformation
Hauptverfasser: Shahjaman, Md., Kumar, Nishith, Ahmed, Md. Shakil, Begum, AnjumanAra, Islam, S. M. Shahinul, Mollah, Md. Nurul Haque
Format: Artigo
Sprache:Inglês
Veröffentlicht: Biomedical Informatics 2017
Schlagworte:
Hypothesis
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5680713/
https://ncbi.nlm.nih.gov/pubmed/29162964
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.6026/97320630013327
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