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Named entity recognition and relation detection for biomedical information extraction
The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
Pathway analysis: state of the art
Pathway analysis is a set of widely used tools for research in life sciences intended to give
meaning to high-throughput biological data. The methodology of these tools settles in the …
meaning to high-throughput biological data. The methodology of these tools settles in the …
Fifty years of graph matching, network alignment and network comparison
In this paper we survey methods for performing a comparative graph analysis and explain
the history, foundations and differences of such techniques of the last 50 years. While …
the history, foundations and differences of such techniques of the last 50 years. While …
Integrating pathways of Parkinson's disease in a molecular interaction map
Parkinson's disease (PD) is a major neurodegenerative chronic disease, most likely caused
by a complex interplay of genetic and environmental factors. Information on various aspects …
by a complex interplay of genetic and environmental factors. Information on various aspects …
Systems bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches
Abstract Systems Bioinformatics is a relatively new approach, which lies in the intersection of
systems biology and classical bioinformatics. It focuses on integrating information across …
systems biology and classical bioinformatics. It focuses on integrating information across …
Direct estimation of differential networks
It is often of interest to understand how the structure of a genetic network differs between two
conditions. In this paper, each condition-specific network is modelled using the precision …
conditions. In this paper, each condition-specific network is modelled using the precision …
Quantitative trait loci-dependent analysis of a gene co-expression network associated with Fusarium head blight resistance in bread wheat (Triticum aestivumL.)
Background Fusarium head blight (FHB) caused by Fusarium graminearum Schwabe is one
of the most prevalent diseases of wheat (Triticum aestivum L.) and other small grain cereals …
of the most prevalent diseases of wheat (Triticum aestivum L.) and other small grain cereals …
[BOK][B] Quantitative graph theory
Graph theory [12, 83, 86] is a relatively new branch of mathematics and the main body of
fundamental results dates back to the seminal contribution due to König [111]. Earlier …
fundamental results dates back to the seminal contribution due to König [111]. Earlier …
The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks
In this study, we infer the breast cancer gene regulatory network from gene expression data.
This network is obtained from the application of the BC3Net inference algorithm to a large …
This network is obtained from the application of the BC3Net inference algorithm to a large …
Identification of candidate genes in ischemic cardiomyopathy by gene expression omnibus database
H Dang, Y Ye, X Zhao, Y Zeng - BMC Cardiovascular Disorders, 2020 - Springer
Background Ischemic cardiomyopathy (ICM) is one of the most usual causes of death
worldwide. This study aimed to find the candidate gene for ICM. Methods We studied …
worldwide. This study aimed to find the candidate gene for ICM. Methods We studied …