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  "Title": "Rapid Reconstruction of Time-Varying Gene Regulatory Networks",
  "Description": "Rapid advancements in high-throughput gene sequencing\ntechnologies have resulted in genome-scale time-series\ndatasets. Uncovering the underlying temporal sequence of gene\nregulatory events in the form of time-varying gene regulatory\nnetworks demands accurate and computationally efficient\nalgorithms. Such an algorithm is 'TGS'. It is proposed in\nSaptarshi Pyne, Alok Ranjan Kumar, and Ashish Anand; Rapid\nreconstruction of time-varying gene regulatory networks;\nIEEE/ACM Transactions on Computational Biology and\nBioinformatics, 17(1):278{291, Jan-Feb 2020. The TGS algorithm\nis shown to consume only 29 minutes for a microarray dataset\nwith 4028 genes. This package provides an implementation of the\nTGS algorithm and its variants.",
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  "License": "CC BY-NC-SA 4.0",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.1.0",
  "biocViews": "NetworkInference, GraphAndNetwork, Network, GeneExpression,\nMicroarray, SystemsBiology, Software",
  "URL": "https://www.biorxiv.org/content/early/2018/06/14/272484,\nhttps://github.com/sap01/TGS",
  "BugReports": "https://github.com/sap01/TGS/issues",
  "VignetteBuilder": "knitr",
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  "Repository": "https://sap01.r-universe.dev",
  "Date/Publication": "2020-05-22 14:04:41 UTC",
  "RemoteUrl": "https://github.com/sap01/tgs",
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    "User": "root"
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  "Author": "Saptarshi Pyne [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-9710-6749>),\nManan Gupta [aut],\nAlok Kumar [aut],\nAshish Anand [aut] (ORCID: <https://orcid.org/0000-0002-0024-3358>)",
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