Extracting chemical–protein relations with ensembles of SVM and deep learning models
Mining relations between chemicals and proteins from the biomedical literature is an
increasingly important task. The CHEMPROT track at BioCreative VI aims to promote the …
increasingly important task. The CHEMPROT track at BioCreative VI aims to promote the …
Extracting chemical–protein interactions from literature using sentence structure analysis and feature engineering
Abstract Information about the interactions between chemical compounds and proteins is
indispensable for understanding the regulation of biological processes and the development …
indispensable for understanding the regulation of biological processes and the development …
LPTK: a linguistic pattern-aware dependency tree kernel approach for the BioCreative VI CHEMPROT task
Identifying the interactions between chemical compounds and genes from biomedical
literatures is one of the frequently discussed topics of text mining in the life science field. In …
literatures is one of the frequently discussed topics of text mining in the life science field. In …
Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks
H Lu, L Li, X He, Y Liu, A Zhou - Computer methods and programs in …, 2019 - Elsevier
Background and objective The extraction of interactions between chemicals and proteins
from biomedical literature is important for many biomedical tasks such as drug discovery and …
from biomedical literature is important for many biomedical tasks such as drug discovery and …
[HTML][HTML] A graph convolutional network–based method for chemical-protein interaction extraction: algorithm development
E Wang, F Wang, Z Yang, L Wang… - JMIR Medical …, 2020 - medinform.jmir.org
Background: Extracting the interactions between chemicals and proteins from the
biomedical literature is important for many biomedical tasks such as drug discovery …
biomedical literature is important for many biomedical tasks such as drug discovery …
Extraction of chemical–protein interactions from the literature using neural networks and narrow instance representation
The scientific literature contains large amounts of information on genes, proteins, chemicals
and their interactions. Extraction and integration of this information in curated knowledge …
and their interactions. Extraction and integration of this information in curated knowledge …
[PDF][PDF] BioCreative VII-Track 1: a BERT-based system for relation extraction in biomedical text
This paper describes our team's participation in Track 1 of the BioCreative VII challenge to
automatically detect relations between chemical compounds/drugs and genes/proteins …
automatically detect relations between chemical compounds/drugs and genes/proteins …
[PDF][PDF] 基于最短依存路径和集成学习的化学物蛋白质关系抽取
程威， 邵一帆， 钱龙华， 周国栋 - 中文信息学报, 2021 - jcip.cipsc.org.cn
化学物与蛋白质之间的相互作用关系抽取对精准医学和药物发现等方面的研究有着重要作用.
该文提出了一种基于最短依存路径和注意力机制的双向LSTM 模型, 并将其应用于化学物蛋白质 …
该文提出了一种基于最短依存路径和注意力机制的双向LSTM 模型, 并将其应用于化学物蛋白质 …
Two Studies on the Application of Machine Learning for Biomedical Big Data
PY Lung - 2019 - search.proquest.com
Large volumes of genomic data and new scientific discoveries in biomedical research are
being made every day by laboratories in both academia and industry. However, two issues …
being made every day by laboratories in both academia and industry. However, two issues …
[引用][C] Extracting protein-ligand interactions from the biomedical literature using deep learning approaches
A Yüksel - 2019 - platform.almanhal.com
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