Könyv Feature Filtering Techniques for Biased Microarray  Sample Sets Abu Kamal

Feature Filtering Techniques for Biased Microarray Sample Sets

Some Thoughts and Solutions

Szerző: Abu Kamal
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Kiadói készleten rendelésre
Küldés 17-27 napon belül
17 189 Ft
Microarray expression data contain expression levels §of a large number of genes and have been used...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2009
oldal
80
EAN
9783639170245
Enbook ID
06825367
Súly
136
Méretek
150 x 220 x 5

Teljes leírás

Microarray expression data contain expression levels §of a large number of genes and have been used in §many scientific research and clinical studies. Due §to its high dimensionalities, selecting a small §number of genes has shown to be beneficial for many §tasks such as building prediction models for a §particular disease or gene regulatory network §discovery. Traditional gene selection methods, §however, fail to take the class distribution into §the selection process. In Biomedical science, it is §very common to have microarray expression data §severely biased having very small number of diseased §samples. These biased sample sets require special §attention from researchers for identification of §genes responsible for a particular disease. In this §work, we propose three feature filtering techniques, §Higher Weight ReliefF, ReliefF with Differential §Minority Repeat and ReliefF with Balanced Minority §Repeat to identify genes responsible for fatal §diseases from biased microarray expression data. Our §solutions will help Bioinformatics, Computer Science §and Biomedical Research groups to filter potentially §hazardous genes in an efficient way.

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