
SOFAR
 Referenced in 4 articles
[sw31665]
 both numbers of responses and predictors. Better statistical efficiency and scientific insights can be enabled ... understanding the largescale responsepredictor association network structures via layers of sparse latent factors ... constrained optimization to learn the underlying association networks, with broad applications to both unsupervised ... suggested procedure characterizing the theoretical advantages. The statistical guarantees are powered by an efficient SOFAR...

MAST
 Referenced in 5 articles
[sw30709]
 MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in singlecell ... cell data. It provides insights into how networks of coexpressed genes evolve across...

GRETNA
 Referenced in 1 article
[sw26509]
 characterized by graph theory. Given the huge complexity of network construction, analysis and statistics, toolboxes...

LSTMVis
 Referenced in 3 articles
[sw27157]
 visual analysis tool for recurrent neural networks with a focus on understanding these hidden state ... isolate patterns for further statistical analysis. We characterize the domain, the different stakeholders, and their...

BSMART
 Referenced in 5 articles
[sw07381]
 analysis that has been long developed for statistical quantification of brain connectivity on different time ... characterize, with high spatial, temporal, and frequency resolution, functional relations within large scale brain networks...

HCCVis
 Referenced in 2 articles
[sw30710]
 Coherencebased time series clustering for statistical inference and visualization of brain connectivity. We develop ... brain signals, a procedure for characterizing connectivity in a network by clustering nodes or groups...

COVAIN
 Referenced in 1 article
[sw10556]
 multivariate statistics, time series and correlation network analysis and inverse estimation of the differential jacobian ... cornerstones in systems biology by characterizing metabolic activities as the ultimate readout of physiological processes ... highdimensional, statistical data analysis is complex. No single technique for statistical analysis and biological ... combination of univariate and multivariate statistics, network topology and biochemical pathway mapping analysis...

GLSNN
 Referenced in 1 article
[sw34569]
 novel statistical fault detection method, called the globalandlocalstructurebased neural network (GLSNN ... process data. GLSNN is characterized by adaptively training a neural network which takes both ... After nonlinear feature extraction, Hotelling (T^2) statistic and the squared prediction error (SPE) statistic...

Tmix
 Referenced in 4 articles
[sw30331]
 connection present in the trace. The characterization, called a connection vector, is then used ... application actually was. When combined with a network path emulation component we have constructed called ... resulting traffic generated in the simulation is statistically representative of the traffic measured...

GAP
 Referenced in 2876 articles
[sw00320]
 GAP is a system for computational discrete algebra...

gretl
 Referenced in 18 articles
[sw00386]
 gretl: Gnu Regression, Econometrics and Timeseries Library...

Macaulay2
 Referenced in 1692 articles
[sw00537]
 Macaulay2 is a software system devoted to supporting...

Magma
 Referenced in 2917 articles
[sw00540]
 Computer algebra system (CAS). Magma is a large...

Maple
 Referenced in 5124 articles
[sw00545]
 The result of over 30 years of cutting...

Mathematica
 Referenced in 5957 articles
[sw00554]
 Almost any workflow involves computing results, and that...

Matlab
 Referenced in 12309 articles
[sw00558]
 MATLAB® is a highlevel language and interactive...

mclust
 Referenced in 260 articles
[sw00563]
 R package mclust: Normal Mixture Modeling for Model...

nauty
 Referenced in 561 articles
[sw00611]
 graphtheoretic program NAUTY: nauty is a program...

polymake
 Referenced in 297 articles
[sw00724]
 polymake is open source software for research in...

R
 Referenced in 8601 articles
[sw00771]
 R is a language and environment for statistical...