Rchange specifications


Unique identifier OMICS_15771
Name Rchange
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++
Computer skills Advanced
Stability Stable
Maintained No


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Publication for Rchange

Rchange in publications

PMCID: 5745406
PMID: 29263284
DOI: 10.1098/rspb.2017.1870

[…] social class based on education and income instead of population-based estimates, r = −0.30, and consistent across each facet of wise reasoning, rhumility =−0.37, routsider viewpoint =−0.52, rchange =−0.28, rperspectives =−0.30, rcompromise =−0.27. similarly, results were consistent when examining random intercept mixed effects models with participants' scores nested within states […]

PMCID: 5686824
PMID: 29137642
DOI: 10.1186/s12934-017-0812-8

[…] loop, multi-branch loop, and exterior loop. then the results show a structural profile of an rna base by a set of six probabilities that the base belongs to each category.finally, we used the rchange algorithm [] to compute the entropy and the internal energy changes of the secondary structures for each single-point mutation. , we used the centroidfold tool for the structure prediction […]

PMCID: 5532438
PMID: 28804468
DOI: 10.3389/fpsyg.2017.01262

[…] generalization responses to a statistically significant degree, r12 = 0.12, f1(1, 58) = 7.79, p1 < 0.01, r22 = 0.17, f2(4, 55) = 2.89, p2 = 0.03. the change in r2 which was not significant, rchange2 = 0.06, f(3, 55) = 1.23, p = 0.31, and only terminal accuracy seemed to contribute significantly to the prediction of generalization performance in either model (see table ). bayesian […]

PMCID: 5372791
PMID: 28424639
DOI: 10.3389/fpsyg.2017.00447

[…] arousal and threshold., in line with the main effect of arousal found in the ancova, adding centered subjective arousal to the regression model did improve prediction of the test threshold, rchange2 = 0.07, fchange(1,73) = 5.84, p = 0.018, compared to the model with the baseline threshold only, r2 = 0.03, f(1,74) = 2.40, p = 0.13. importantly, adding squared centered subjective arousal […]

PMCID: 4681780
PMID: 26733836
DOI: 10.3389/fnbeh.2015.00349

[…] model was also significant [r2 = 0.624, f(3, 9) = 4.98, p = 0.026, f 2 = 0.166]. however, the amount of additionally explained variance (13.4%) remained non-significant compared to the first model [rchange2 = 13.4, f(3, 9) = 1.60, p = 0.254]., the dependent variable was interoceptive accuracy. step 1: r2 = 0.490621, radj.2= 0.444314; p = 0.007667. step 2: r2 = 0.624385, rchange2= 0.133764, […]

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Rchange institution(s)
Department of Computational Biology, Faculty of Frontier Science, The University of Tokyo, Kashiwa, Chiba, Japan; Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Koto-ku, Tokyo, Japan
Rchange funding source(s)
This study was supported by the ‘Functional RNA Project’ funded by the New Energy and Industrial Technology Development Organization (NEDO) of Japan, a Grant-in-Aid for Young Scientists (21700330) and a Grant-in-Aid for Scientific Research (A) (22240031).

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