Package: TGS 1.0.1.9000

TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

Rapid advancements in high-throughput gene sequencing technologies have resulted in genome-scale time-series datasets. Uncovering the underlying temporal sequence of gene regulatory events in the form of time-varying gene regulatory networks demands accurate and computationally efficient algorithms. Such an algorithm is 'TGS'. It is proposed in Saptarshi Pyne, Alok Ranjan Kumar, and Ashish Anand; Rapid reconstruction of time-varying gene regulatory networks; IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(1):278{291, Jan-Feb 2020. The TGS algorithm is shown to consume only 29 minutes for a microarray dataset with 4028 genes. This package provides an implementation of the TGS algorithm and its variants.

Authors:Saptarshi Pyne [aut, cre], Manan Gupta [aut], Alok Kumar [aut], Ashish Anand [aut]

TGS_1.0.1.9000.tar.gz
TGS_1.0.1.9000.zip(r-4.5)TGS_1.0.1.9000.zip(r-4.4)TGS_1.0.1.9000.zip(r-4.3)
TGS_1.0.1.9000.tgz(r-4.4-any)TGS_1.0.1.9000.tgz(r-4.3-any)
TGS_1.0.1.9000.tar.gz(r-4.5-noble)TGS_1.0.1.9000.tar.gz(r-4.4-noble)
TGS_1.0.1.9000.tgz(r-4.4-emscripten)TGS_1.0.1.9000.tgz(r-4.3-emscripten)
TGS.pdf |TGS.html✨
TGS/json (API)
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Bug tracker:https://github.com/sap01/tgs/issues

On CRAN:

1 exports 3.19 score 24 dependencies 18 mentions 3 scripts 144 downloads

Last updated 4 years agofrom:c639074ec5. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:LearnTgs

Dependencies:BiocGenericsBiocManagerbitopsbnstructclicodetoolscpp11doParallelforeachggmgluegraphigraphinfotheoiteratorslatticelifecyclemagrittrMatrixminetpkgconfigrjsonrlangvctrs