A set of signal processing functions originally written for 'Matlab' and 'Octave'.
  Includes filter generation utilities, filtering functions,
  resampling routines, and visualization of filter models. It also
  includes interpolation functions.

Predicts the presence of signal peptides in eukaryotic protein
    using hidden semi-Markov models. The implemented algorithm can be accessed from
    both the command line and GUI.

When multiple Cox proportional hazard models are performed on clinical data 
    (month or year and status) and a set of differential expressions of genes, 
    the results (Hazard risks, z-scores and p-values) can be used to create gene-expression signatures. 
    Weights are calculated using the survival p-values of genes and are utilized to calculate expression 
    values of the signature across the selected genes in all patients in a cohort. A Single or multiple 
    univariate or multivariate Cox proportional hazard survival analyses of the patients in one cohort 
    can be performed by using the gene-expression signature and visualized using our survival plots.

Extract the signed backbones of intrinsically dense weighted networks based on the significance filter and vigor filter as described in the following paper. Please cite it if you find this software useful in your work.	
	Furkan Gursoy and Bertan Badur. "Extracting the signed backbone of intrinsically dense weighted networks." Journal of Complex Networks. <arXiv:2012.05216>.

Add significance marks to any R Boxplot, including a given significance niveau.

Provides significance controlled variable selection algorithms with different directions (forward, backward, stepwise) based on diverse criteria (AIC, BIC, adjusted r-square, PRESS, or p-value). The algorithm selects a final model with only significant variables defined as those with significant p-values after multiple testing correction such as Bonferroni, False Discovery Rate, etc. See Zambom and Kim (2018) <doi:10.1002/sta4.210>.

Methods for the analysis of signed networks. This includes
    several measures for structural balance as introduced by Cartwright
    and Harary (1956) <doi:10.1037/h0046049>, blockmodeling algorithms
    from Doreian (2008) <doi:10.1016/j.socnet.2008.03.005>, various
    centrality indices, and projections of signed two-mode networks
    introduced by Schoch (2020) <doi:10.1080/0022250X.2019.1711376>.