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Inbix specifications


Unique identifier OMICS_32819
Name Inbix
Alternative name Interaction-Network BIonformatics ToolboX
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++
Computer skills Advanced
Stability Stable
Cmake, libz/zlib, LAPACK, Boost Mostly, Armadillo Linear algebra header library, GNU Scientific Library, Doxygen, OpenMP
Maintained Yes


  • ReliefF




No version available

Additional information

Publication for Interaction-Network BIonformatics ToolboX

Inbix citations


Collective feature selection to identify crucial epistatic variants

BioData Min
PMCID: 5907720
PMID: 29713383
DOI: 10.1186/s13040-018-0168-6

[…] ic architecture. These methods usually work best for “big data” problems. We tested two decision-tree based methods, including Random forests and Gradient Boosting, and we also tested a non-heuristic ReliefF algorithm variation called Multiple Threshold Spatially Uniform ReliefF (MultiSURF*) [].For our random forests implementation, we used the RANGER R package []. We tuned random forests to get b […]


A Fast, Open EEG Classification Framework Based on Feature Compression and Channel Ranking

Front Neurosci
PMCID: 5911500
PMID: 29713262
DOI: 10.3389/fnins.2018.00217

[…] he classical empirical Bayesian linear model to gain a group-sparse Bayesian linear discriminant analysis (gsBLDA) method for simultaneous channel selection and EEG classification (Yu et al., ). Mean ReliefF channel selection (MRCS) adopted an iterative strategy to adjust the ReliefF-based weights of channels according to their contribution to the SVM classification accuracy (Zhang et al., ). The […]


An Intelligent Monitoring Network for Detection of Cracks in Anvils of High Press Apparatus

PMCID: 5948943
PMID: 29642514
DOI: 10.3390/s18041142

[…] ationary features in the time and frequency domain of the AE signal, which is processed by wavelet packet decomposition and the empirical mode decomposition for tool condition classification with the ReliefF method []. Al-Ghamd identifies the presence and size of a defect on a radially loaded bearing with AE technique and proves that AE offers earlier fault detection and provides an indication of […]


Investigation of model stacking for drug sensitivity prediction

BMC Bioinformatics
PMCID: 5872495
PMID: 29589559
DOI: 10.1186/s12859-018-2060-2

[…] ssion and normalized Area Under the Curve (AUC) values for the cell lines tested on the drug 17-AAG from the Cancer Cell Line Encyclopedia (CCLE) []. From the available 19,000 gene expressions we use RELIEFF [] to screen top 250 features. Similar to the synthetic case, we segregate 50 training samples into our vertical and horizontal groups, build individual predictive model RF with 50 trees, buil […]


Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time

Sci Rep
PMCID: 5862880
PMID: 29563533
DOI: 10.1038/s41598-018-22676-0

[…] relatively well-preserved walking stability and symmetry. In contrast, subgroup 3 demonstrated pronounced dynamic instability with less-impaired joint excursions, in particular at the ankle (Fig. ). ReliefF feature selection analysis confirmed the main relative discriminants identified in the cluster and PC analysis (Fig. ).Figure 4The EDSS step was not different between the three cluster subgrou […]


Histogram Based Features Selection and Volume of Interest Ranking for Brain PET Image Classification

PMCID: 5881487
PMID: 29637029
DOI: 10.1109/JTEHM.2018.2796600

[…] luding Student’s t-Test analysis , Fisher score , , Support vector Machine feature elimination (SVM-RFE) , feature selection with Random Forest , , , minimum Redundancy Maximum Relevance (mRMR) , and ReliefF , , . The Voxel Based Analysis (VBA), considered as a baseline classification approach is also used for comparison purposes. It consists in inputting to the classifier the whole brain voxels t […]


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Inbix institution(s)
Tandy School of Computer Science, The University of Tulsa, Tulsa, OK, USA; Department of Mathematics, The University of Tulsa, Tulsa, OK, USA; Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA; Department of Psychology, The University of Tulsa, Tulsa, OK, USA
Inbix funding source(s)
Supported in part by The William K. Warren Foundation and the National Institute of General Medical Sciences Center Grants P20GM121312 and P20GM103456.

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