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T-PLL Subgroups: R Scripts and Data Sets

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 May 2022 English Publisher:Zenodo
Authors: Mikhaylenko, Nathan; Seifert, Michael;

doi: 10.5281/zenodo.6586471 , 10.5281/zenodo.6586472 , 10.5281/zenodo.6923705

T-PLL Subgroups: R Scripts and Data Sets

Abstract

The ZIP-file (T-PLL_Subgroups_R-Scripts_and_DataSets.zip) contains R scripts written by Mr. Mikhaylenko and all data sets that were used for the identification and characterization of three molecular subgroups of T-cell prolymphocytic leukemia (T-PLL). The other ZIP-file (Updates_July2022.zip) contains R scripts and data sets that were revised for the revision of the manuscript.

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Keywords

subgroup characterization, gene expression analysis, T-cell prolymphocytic leukemia (T-PLL)

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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