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sscMap specifications

Information


Unique identifier OMICS_11732
Name sscMap
Alternative name statistically significant connections' map
Software type Package/Module
Interface Command line interface, Graphical user interface
Restrictions to use Academic or non-commercial use
Input data Gene IDs
Operating system Unix/Linux
Programming languages Java
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Timothy Gant

Publications for statistically significant connections' map

sscMap citations

 (17)
library_books

β defensin 1 expression in HCV infected liver/liver cancer: an important role in protecting HCV progression and liver cancer development

2017
Sci Rep
PMCID: 5645372
PMID: 29042578
DOI: 10.1038/s41598-017-13332-0

[…] Gene expression connectivity mapping was performed using Statistically Significant Connection’s Map (sscMap) to identify candidate small molecule compounds that may reverse the reduced expression of β-defensin 1 gene and its associated gene expression signature–. The relevant probes were input to the […]

library_books

The prognostic significance of DAPK1 in bladder cancer

2017
PLoS One
PMCID: 5384764
PMID: 28388658
DOI: 10.1371/journal.pone.0175290

[…] Gene expression connectivity mapping was performed using Statistically Significant Connection’s Map (sscMap) to identify candidate small molecule compounds that may reverse the reduced expression of DAPK1 and its associated gene expression signature [–]. The relevant probes were input to the Java app […]

library_books

DAPK1 as an independent prognostic marker in liver cancer

2017
PeerJ
PMCID: 5520959
PMID: 28740751
DOI: 10.7717/peerj.3568

[…] formed to identify candidate small molecule compounds that may reverse the reduced expression of DAPK1 and its associated gene expression signature using a statistically significant connections’ map (sscMap) as previously described (; ; ). The relevant probes were compared with the 6,000 gene expression profiles generated by treating cancer cells with over 1,000 small molecules () with gene signat […]

library_books

CD133 in brain tumor: the prognostic factor

2016
Oncotarget
PMCID: 5355253
PMID: 28055976
DOI: 10.18632/oncotarget.14406

[…] Gene expression connectivity mapping was performed using Statistically Significant Connection's Map (sscMap) to identify candidate small molecule compounds that may reverse the overexpression of CD133 and HOX genes and suppression of LIM2 gene [–]. The CD133/HOX genes/LIM2 probes were input to the Ja […]

library_books

KRAS mutant colorectal cancer gene signatures identified angiotensin II receptor blockers as potential therapies

2016
Oncotarget
PMCID: 5356876
PMID: 27965461
DOI: 10.18632/oncotarget.13884

[…] has the potential to reverse the corresponding biological condition [, ]. Since the initial concept was introduced, research has been done to improve the capabilities of connectivity mapping [–]. The sscMap represented some major efforts to refine the scoring scheme and offered noteworthy improvements on the connectivity mapping procedure []. Utilizing the gene expression profiling data released b […]

library_books

SASH1 mediates sensitivity of breast cancer cells to chloropyramine and is associated with prognosis in breast cancer

2016
Oncotarget
PMCID: 5341945
PMID: 27637080
DOI: 10.18632/oncotarget.12020

[…] uce SASH1 expression. SASH1 was mapped to Affymetrix HG-U133A probeset IDs to form a query gene signature. This was compared to the reference drug expression profiles in the CMap02 database using the sscMap algorithm [, ]. Compounds with statistically significant positive connection to the query gene signature were selected as candidate SASH1 inducing drugs for further laboratory validation as des […]

Citations

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sscMap institution(s)
MRC Toxicology Unit, University of Leicester, Leicester, UK; Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK
sscMap funding source(s)
Financial support for this project was provided by the Medical Research Council UK.

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