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We define a disrupted pathway as one whose members (genes) are directly altered, or they interact (based on the protein-protein interaction network) with many altered genes.
The present analysis approached the role of miRNAs from a genomics perspective and assessed the biological roles of 2954 genes and 788 human miRNAs, which can be considered to interact, based on empirical evidence and computational predictions of miRNA versus gene interactions.
We address these gaps in our empirical investigation of how these entities support and interact based on Open Hub2 data.
Nodes interact based on some local preferences and on a question answer protocol driven by the difference of some key attribute values between neighbors.
Now, a team of U.K. scientists has developed a new model to predict when host species and humans will interact, based on climate change, population size, land use, and the known locations of host species, Reuters reports.
The Radiation Model [5] was recently proposed as a parameter free mobility model in which individuals move and interact based on the population density of the source and destination regions, and that of the surrounding regions.
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In contrast, the regions we tested and that scored to be interacting based on the 4C data indeed had interaction frequencies significantly above the background (>9%; p<0.001, G-test), both in untreated and α-amanitin treated cells.
In an attempt to validate our hypothesis that pairs of genes showing excess genetic divergence represent potential functional interactions, we selected a small set of gene combinations postulated to be interacting based on our analyses and looked for a combined effect of the selected genes on variation in complex traits in both mice and man.
We let S2ij represent the event that domain pair dij is interacting based on the occurrence of dij in Prdp.
Feature S1ij represents the event that domain pair dij is interacting based on the expected frequency of occurrence estimated from a given set of protein pairs.
A simple function of RDPij is used to simulate a probability density function for the probability of dij interacting based on information about its occurrence in Rosetta stone proteins.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com