t-Test at the Probe Level: An Alternative Method to Identify Statistically Significant Genes for Microarray Data

Publisher： MDPI

E-ISSN： 2076-3905|3|4|340-351

ISSN： 2076-3905

Source： Micrrrays, Vol.3, Iss.4, 2014-12, pp. : 340-351

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Microarray Data Analysis: A Hierarchical T-Test to Handle Heteroscedasticity

By de Menezes Renée X.

Applied Bioinformatics, Vol. 3, Iss. 4, 2004-01 ,pp. : 229-235

Adis International

Access to resources Recommend Favorite

Microarray Data Analysis to Find Diagnostic Approach and Identify Families of Disease-Altered Genes Based on Rank-Reverse of Gene Expression

Current Bioinformatics, Vol. 4, Iss. 3, 2009-01 ,pp. : 242-248

Bentham Science Publishers

Access to resources Recommend Favorite

Pigeons: A Novel GUI Software for Analysing and Parsing High Density Heterologous Oligonucleotide Microarray Probe Level Data

By Lai Hung-Ming May Sean T. Mayes Sean

Micrrrays, Vol. 3, Iss. 1, 2014-01 ,pp. : 1-23

MDPI

Access to resources Recommend Favorite

Microarray Analysis in a Cell Death Resistant Glioma Cell Line to Identify Signaling Pathways and Novel Genes Controlling Resistance and Malignancy

By Seznec Janina Naumann Ulrike

Cancers, Vol. 3, Iss. 3, 2011-06 ,pp. : 2827-2843

MDPI

Access to resources Recommend Favorite

Zipf's Law in Importance of Genes for Cancer Classification Using Microarray Data

By Li W. Yang Y.

Journal of Theoretical Biology, Vol. 219, Iss. 4, 2002-12 ,pp. : 539-551

Academic Press

Access to resources Recommend Favorite