HDBStat! A platform-independent software suite for statistical analysis of high dimensional biology data

Prinal Trivedi, Jode W. Edwards, Jelai Wang, Gary L. Gadbury, Vinodh Srinivasasainagendra, Stanislav O. Zakharkin, Kyoungmi Kim, Tapan Mehta, Jacob P L Brand, Amit Patki, Grier P. Page, David B. Allison

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

Background: Many efforts in microarray data analysis are focused on providing tools and methods for the qualitative analysis of microarray data. HDBStat! (High-Dimensional Biology-Statistics) is a software package designed for analysis of high dimensional biology data such as microarray data. It was initially developed for the analysis of microarray gene expression data, but it can also be used for some applications in proteomics and other aspects of genomics. HDBStat! provides statisticians and biologists a flexible and easy-to-use interface to analyze complex microarray data using a variety of methods for data preprocessing, quality control analysis and hypothesis testing. Results: Results generated from data preprocessing methods, quality control analysis and hypothesis testing methods are output in the form of Excel CSV tables, graphs and an Html report summarizing data analysis. Conclusion: HDBStat! is a platform-independent software that is freely available to academic institutions and non-profit organizations. It can be downloaded from our website http://www.soph.uab.edu/ ssg_content.asp?id=1164.

Original languageEnglish (US)
Article number86
JournalBMC Bioinformatics
Volume6
DOIs
StatePublished - Apr 6 2005
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)
  • Structural Biology
  • Applied Mathematics

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    Trivedi, P., Edwards, J. W., Wang, J., Gadbury, G. L., Srinivasasainagendra, V., Zakharkin, S. O., Kim, K., Mehta, T., Brand, J. P. L., Patki, A., Page, G. P., & Allison, D. B. (2005). HDBStat! A platform-independent software suite for statistical analysis of high dimensional biology data. BMC Bioinformatics, 6, [86]. https://doi.org/10.1186/1471-2105-6-86