iPAS statistics

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Citations per year

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Associated diseases

Associated diseases

iPAS specifications


Unique identifier OMICS_25551
Name iPAS
Alternative name individualized Pathway Aberrance Score
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes


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  • person_outline Taesung Park <>
  • person_outline Nam Huh <>
  • person_outline TaeJin Ahn <>

Publication for individualized Pathway Aberrance Score

iPAS in publications

PMCID: 5647075
PMID: 28849088
DOI: 10.3892/mmr.2017.7305

[…] with high-throughput expression data and other molecular states for further analysis in the topological characteristics., pathway analysis has become important in capturing clinical information. an ipas model was introduced to identify altered pathways in an individual sample (). normal tissue data were represented as nref. the process of this analysis was described as follows., gene level […]

PMCID: 5647041
PMID: 28849000
DOI: 10.3892/mmr.2017.7217

[…] with pediatric sepsis were detected as attractors. when the distribution results of attractors are consistent with the distribution of total data assessed using support vector machine, the individualized pathway aberrance score (ipas) was calculated to distinguish differences. through attractor and kyoto encyclopedia of genes and genomes functional analysis, 277 enriched pathways […]

PMCID: 5432060
PMID: 28477439
DOI: 10.12659/MSM.900738

[…] analysis. the purpose of this study was to search for therapeutic drugs according to altered pathways in individual patients., in this study, we introduced individual pathway aberrance analysis (ipas) to analyze altered pathways in individual cll patient. thousands of drugs underwent drug-set enrichment analysis (dsea) in individuals. we tried to find the corresponding therapeutic drugs […]

PMCID: 5364974
PMID: 28260097
DOI: 10.3892/mmr.2017.6274

[…] from kyoto encyclopedia of genes and genomes (kegg) pathway database. an individual pathway-based method to diagnose ipf at an early stage was introduced. pathway statistics were analyzed with an individualized pathway aberrance score. p-values were obtained with different methods, including the wilcoxon test, linear models for microarray data (limma) test and attract methods, generating […]

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iPAS institution(s)
Samsung Advanced Institute of Technology, Suwon, South Korea; Samsung Genome Institute, Seoul, South Korea; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea; Department of Statistics, Seoul National University, Seoul, South Korea
iPAS funding source(s)
Supported by the National Research Foundation of Korea (NRF) grant (2012R1A3A2026438) and by the Bio & Medical Technology Development Program of the NRF grant (2013M3A9C4078158).

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