Sentence examples for extract diseases from inspiring English sources

The procedure of extracting diseases which can discover new drug candidate is as follows: first, to extract diseases which have the common SNPs or disease gene from two tables of "Gene" and "Jsnp"; second, when some diseases have the common SNP or disease gene, those diseases are related with each other and grouped with the grouping tool developed in Java.

This uses novel biosensors that can precisely extract disease-related information from complex biological systems.

For example, a system to extract "disease names" is provided with a small number of disease names as relevant examples.

The drug companies extract disease-fighting antibodies from the plasma for use in blood-testing kits and vaccines.

First, we took a systematic approach to extract disease associated genes.

In this paper, we present a new methodology to extract disease-biomarker associations from the literature.

Chen et al. used BioMedLEE and MedLEE systems to extract disease-drug associations from biomedical abstracts and discharge summaries [ 19].

In this approach, firstly Kullback-Leibler Divergence combined with mutual information metric is used to extract disease salient information.

Like us they employed MMTx to extract disease mentions, and found that MMTx performs at par to other techniques (Jimeno et al., 2008).

The paper entitled " A knowledge-driven approach to extract disease-related biomarkers from the literature" developed a text mining approach to extract a dataset of biomarkers related to diseases covering all therapeutic areas by exploiting a large literature database.

It can be used to map related concepts to words in text mining applications [ 26] and has been used to extract disease drug knowledge from biomedical and clinical documents [ 27, 28].