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Software . 2017
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Software . 2017
Data sources: Datacite
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greenelab/tybalt: Tybalt - Evaluating Deeper Models and Latent Space

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 Nov 2017Publisher:Zenodo
Authors: Greg Way;
Code repository: https://github.com/greenelab/tybalt/tree/0.1.3

doi: 10.5281/zenodo.836849 , 10.5281/zenodo.1047069

greenelab/tybalt: Tybalt - Evaluating Deeper Models and Latent Space

Abstract

The release tracks recent developments in evaluating tybalt models. The release includes an evaluation of two independent 2 hidden layer models (one with 100 and the other with 300 hidden layer size) given in this notebook as well as a latent space arithmetic analysis in high grade serous ovarian cancer subtypes in this notebook. In each analysis, the model was trained using TCGA pan-cancer gene expression data.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
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