GESS 基因統計分析系統-資安軟體/研究分析軟體/心理學軟體/新永資訊有限公司

GESS 基因統計分析系統

GESS 基因統計分析系統

  • GESS 基因統計分析系統
  • 編號
  • 類別
    統計分析軟體
  • 介紹
    GESS software is a statistical tool for an alyzing data from microarray studies. Array files from multiple platforms may be im ported, corrected, and normalized using GESS’s simple spreadsheet and menu interfac e. In a systematic, elegant manner, GESS software computes the desired statisti cal test for each gene, and reports the results with appropriate Bonferroni or false discovery rate adjusted significance. GESS produces scatter plots, dendrograms, and histograms to visualize gene expression results. GESS may also be used for screening or filtering arrays.
  • 價格

GESS 基因統計分析系統

What is GESS?
GESS software is a statistical tool for an
alyzing data from microarray studies. Array
files from multiple platforms may be im
ported, corrected, and normalized using
GESS’s simple spreadsheet and menu interfac
e. In a systematic, elegant manner,
GESS software computes the desired statisti
cal test for each gene, and reports the
results with appropriate Bonferroni or false discovery rate adjusted significance.
GESS produces scatter plots, dendrograms, and histograms to visualize gene
expression results. GESS may also be
used for screening or filtering arrays.
Why Purchase GESS?
GESS makes statistical analysis of micr
oarray gene expression data fast
and easy. With this well-documented package, you will not have to worry
about complex programming or confusing statistical output. Because this
software was developed by a company with over 25 years of experience
creating commercial statistical software, you will be confident with your
results.
Simple File Organization
Expression files are organized using the built-in spreadsheet, making it
simple to specify and analyze related factors.
Statistical Analysis
A wide variety of statistical analyses is
available. Each technique is well-
documented and described in easy-to-understand terms. Graphical summaries
of statistical output help interpret the results. Follow-up statistical analyses are
obtained with over 200 statistical procedures in
NCSS
.
Array Quality and Filtering
Graphical and numeric summaries, designed to quickly alert the user to
artifacts, bad spots, spatia
l anomalies, or poor arrays, are easily obtained for
each array. Expression values may be filtered according to well-described
criteria. Several normalization procedures are also available

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