STEM

Dataset Identification:

Resource Abstract:
"The Short Time-series Expression Miner (STEM) is a Java program for clustering, comparing, and visualizing short time series gene expression data from microarray experiments (~8 time points or fewer). STEM allows researchers to identify significant temporal expression profiles and the genes associated with these profiles and to compare the behavior of these genes across multiple conditions."
Citation
Title STEM
publication  Date   2015-04-30
Topic Category:  geoscientificInformation,environment
Keywords:
Theme keywords (theme):
Software
thesaurus name >
Title CINERGI Resource Types
publication  Date   2015-01-01
Location keywords:
data visualization
thesaurus name >
Title CINERGI Themes
publication  Date   2015-01-01
Theme keywords (theme):
Experiment
thesaurus name >
Title Activity > experimental process
publication  Date   2018-10-10
other Citation Details  Cinergi keyword enhanced.File generated at Wed Oct 10 16:55:06 UTC 2018
Theme keywords (theme):
Time Series
thesaurus name >
Title Resource Type > Dataset
publication  Date   2018-10-10
other Citation Details  Cinergi keyword enhanced.File generated at Wed Oct 10 16:55:06 UTC 2018
Theme keywords (theme):
Behavior
thesaurus name >
Title Process > Biological Process
publication  Date   2018-10-10
other Citation Details  Cinergi keyword enhanced.File generated at Wed Oct 10 16:55:06 UTC 2018
Theme keywords (theme):
Software
thesaurus name >
Title Resource Type > Software
publication  Date   2018-10-10
other Citation Details  Cinergi keyword enhanced.File generated at Wed Oct 10 16:55:06 UTC 2018
Theme keywords (theme):
Expression
Gene
thesaurus name >
Title Feature > Marine Feature
publication  Date   2018-10-10
other Citation Details  Cinergi keyword enhanced.File generated at Wed Oct 10 16:55:06 UTC 2018
Theme keywords (theme):
Clustering
Data Visualization
thesaurus name >
Title Method > information processing
publication  Date   2018-10-10
other Citation Details  Cinergi keyword enhanced.File generated at Wed Oct 10 16:55:06 UTC 2018
Resource language:  en
Back to top:

Resource distribution information

Format
Format name Resource URL
Format version 0.0
Digital Transfer Options
Linkage for online resource
URL: http://www.cs.cmu.edu/~jernst/stem/
link function download

Metadata data stamp:  
Metadata contact - pointOfContact
organisation Name  Earthcube CINERGI Metadata Pipeline
position Name CINERGI Metadata Contact
Contact information
Address
electronic Mail Address metadata@earthcube.org
Metadata language  en
standard version:  2003
Metadata record identifier:  ecogeo:0096

Metadata record format is ISO19139-2 XML (MI_Metadata)