GeneCluster 2.0: an advanced toolset for bioarray analysis (original) (raw)
Journal Article
,
The Eli and Edythe L. Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02141, USA
Search for other works by this author on:
,
The Eli and Edythe L. Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02141, USA
Search for other works by this author on:
,
The Eli and Edythe L. Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02141, USA
Search for other works by this author on:
,
The Eli and Edythe L. Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02141, USA
Search for other works by this author on:
The Eli and Edythe L. Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02141, USA
Search for other works by this author on:
Received:
03 September 2003
Accepted:
03 December 2003
Published:
26 February 2004
Cite
M. Reich, K. Ohm, M. Angelo, P. Tamayo, J. P. Mesirov, GeneCluster 2.0: an advanced toolset for bioarray analysis, Bioinformatics, Volume 20, Issue 11, July 2004, Pages 1797–1798, https://doi.org/10.1093/bioinformatics/bth138
Close
Navbar Search Filter Mobile Enter search term Search
Abstract
Summary: GeneCluster 2.0 is a software package for analyzing gene expression and other bioarray data, giving users a variety of methods to build and evaluate class predictors, visualize marker lists, cluster data and validate results. GeneCluster 2.0 greatly expands the data analysis capabilities of GeneCluster 1.0 by adding classification, class discovery and permutation test methods. It includes algorithms for building and testing supervised models using weighted voting and _k_-nearest neighbor algorithms, a module for systematically finding and evaluating clustering via self-organizing maps, and modules for marker gene selection and heat map visualization that allow users to view and sort samples and genes by many criteria. GeneCluster 2.0 is a standalone Java application and runs on any platform that supports the Java Runtime Environment version 1.3.1 or greater.
Availability: http://www.broad.mit.edu/cancer/software
*
To whom correspondence should be addressed.
†
Present address: Google, Mountain View, CA 94043, USA
This content is only available as a PDF.
Bioinformatics 20(11) © Oxford University Press 2004; all rights reserved.
Citations
Views
Altmetric
Metrics
Total Views 665
111 Pageviews
554 PDF Downloads
Since 11/1/2016
Month: | Total Views: |
---|---|
November 2016 | 1 |
December 2016 | 1 |
January 2017 | 1 |
February 2017 | 12 |
March 2017 | 9 |
April 2017 | 7 |
May 2017 | 15 |
June 2017 | 3 |
July 2017 | 12 |
August 2017 | 12 |
September 2017 | 1 |
October 2017 | 12 |
November 2017 | 6 |
December 2017 | 17 |
January 2018 | 23 |
February 2018 | 19 |
March 2018 | 18 |
April 2018 | 13 |
May 2018 | 6 |
June 2018 | 8 |
July 2018 | 6 |
August 2018 | 3 |
September 2018 | 3 |
October 2018 | 3 |
November 2018 | 8 |
December 2018 | 4 |
January 2019 | 7 |
February 2019 | 5 |
March 2019 | 8 |
April 2019 | 10 |
May 2019 | 9 |
June 2019 | 7 |
July 2019 | 3 |
August 2019 | 4 |
September 2019 | 11 |
October 2019 | 4 |
November 2019 | 5 |
December 2019 | 10 |
January 2020 | 5 |
February 2020 | 1 |
March 2020 | 7 |
April 2020 | 3 |
May 2020 | 5 |
June 2020 | 5 |
July 2020 | 4 |
September 2020 | 7 |
October 2020 | 2 |
November 2020 | 4 |
December 2020 | 5 |
January 2021 | 3 |
February 2021 | 6 |
March 2021 | 10 |
April 2021 | 3 |
May 2021 | 2 |
June 2021 | 2 |
July 2021 | 5 |
August 2021 | 3 |
September 2021 | 5 |
October 2021 | 8 |
November 2021 | 6 |
December 2021 | 2 |
January 2022 | 8 |
February 2022 | 4 |
March 2022 | 3 |
April 2022 | 5 |
May 2022 | 5 |
June 2022 | 1 |
July 2022 | 3 |
August 2022 | 6 |
September 2022 | 21 |
October 2022 | 15 |
November 2022 | 10 |
December 2022 | 7 |
January 2023 | 2 |
February 2023 | 4 |
March 2023 | 3 |
April 2023 | 9 |
May 2023 | 1 |
July 2023 | 2 |
August 2023 | 4 |
September 2023 | 9 |
October 2023 | 1 |
November 2023 | 1 |
December 2023 | 8 |
January 2024 | 7 |
February 2024 | 10 |
March 2024 | 13 |
April 2024 | 61 |
May 2024 | 8 |
June 2024 | 2 |
July 2024 | 5 |
August 2024 | 13 |
September 2024 | 2 |
October 2024 | 3 |
Citations
77 Web of Science
×
Email alerts
Citing articles via
More from Oxford Academic