Sentence examples for ppi text from inspiring English sources

Plenty of PPI text mining approaches have been categorized into two groups, one is statistical calculation of the co-occurrence of genes or proteins, and the other is the computational linguistic method [2], [4].

There were five trials in which there was a disagreement between data extractors, each of which related to the presence/absence of PPI text and each were resolved by referral to the application form.

Although current PPI text mining methods have begun leveraging expert opinions to extract information from text (Tastan et al., 2015), these methods have not been developed for a large scale extraction task.

The 4.7in 720p HD AMOLED screen has a density of 316 pixels per inch (ppi) making text look crisp.

Results: We developed an interaction detection method and explored the usefulness of various features in automatically identifying PPIs in text.

As the technology of natural language parsing advances, it has been successfully adopted for several information extraction tasks, such as automatically finding PPIs in text.

For automated PPI verification using text mining, IDs are first mapped to multiple corresponding protein names using a synonym dictionary.

> -wrap-foot> The PPI module extracts text fragments (evidence) for each of the parts involved in an interaction: first interactant, second interactant (if available) and the type of PPI (e.g. binding, dissociation and complex).

Because a human brain cDNA library was used as prey, brain-specific PPIs were much more frequently detected in our experimental data than other tissue-specific PPIs (Supporting Data X in Text S1, Figure S11, and Table S10).

So, PPInterFinder can process and extract PPIs from raw text as well as text with pre-tagged protein/gene names.

The IE pipeline can also be applied as a Whatizit (http://www.ebi.ac.uk/webservices/whatizit/info.jsf) Web service (whatizitProteinInteraction, WhatizitProteinInteractionPMID) for the processing of scientific literature for the identification of PPIs from the text.