Improved funnel-gsea using adaptive elastic-net penalization method to identify significant gene sets
Gene set enrichment analysis (GSEA) is one of the methods in functional class scoring (FCS) categories for gene set analysis. GSEA is a popular method that was developed to identify, analyse and interpret set of genes or pathways from high-throughput transcriptomics experiments which are significant...
محفوظ في:
المؤلف الرئيسي: | Mohd. Hasri, Nurul Nadzirah |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2021
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/102997/1/NurulNadzirahMohdHasriMSC2021.pdf.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Using fuzzy logic to identify significant factors of negotiation performance
بواسطة: Tameur, Nachef
منشور في: (2013) -
Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
بواسطة: Sulaiman, Noor Suhana
منشور في: (2007) -
Identifying cancer gene subtypes from gene expression by co-clustering algorithm and support vector machine
بواسطة: Machap, Logenthiran
منشور في: (2021) -
Adaptive hybrid segmentation model based on watershed and enhanced u-net for endothelial human cornea cells
بواسطة: Sami, Ahmed Saifullah
منشور في: (2021) -
Improving embedded linear elasticity in deformable models using stiffness matrix
بواسطة: Md Ali, Nor Azura
منشور في: (2015)