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Papers: 10.1371/journal.pcbi.1008550

https://doi.org/10.1371/journal.pcbi.1008550

CTD: An information-theoretic algorithm to interpret sets of metabolomic and transcriptomic perturbations in the context of graphical models

Cited by: 9
Author(s): Lillian R Thistlethwaite, Varduhi Petrosyan, Xiqi Li, Marcus J. Miller, Sarah H. Elsea, Aleksandar Milosavljevic
Published: over 5 years ago

Software Mentions 5

bioconductor: DEGraph
Two-sample tests on a graph
Papers that mentioned: 15
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bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
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Very Likely Science (100)
bioconductor: SPIA
Signaling Pathway Impact Analysis (SPIA) using combined evidence of pathway over-representation and unusual signaling perturbations
Papers that mentioned: 155
Very Likely Science (100)
cran: CePa
Centrality-Based Pathway Enrichment
Papers that mentioned: 22
Very Likely Science (87)
cran: CTD
A Method for 'Connecting The Dots' in Weighted Graphs
Papers that mentioned: 44
Very Likely Science (83)