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Understanding the performance of knowledge graph embeddings in drug discovery
Knowledge Graphs (KG) and associated Knowledge Graph Embedding (KGE) models have recently begun to be explored in the context of drug discovery and have the potential to assist in key challenges such as target identification. In the drug discovery domain,
Stephen Bonner +6 more
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Introduction Alliance for Clinical Trials in Oncology (Alliance) coordinated trials utilize Medidata Rave® (Rave) as the primary clinical data capture system.
David Zahrieh +15 more
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SMIXnorm: Fast and Accurate RNA-Seq Data Normalization for Formalin-Fixed Paraffin-Embedded Samples
RNA-sequencing (RNA-seq) provides a comprehensive quantification of transcriptomic activities in biological samples. Formalin-Fixed Paraffin-Embedded (FFPE) samples are collected as part of routine clinical procedure, and are the most widely available ...
Shen Yin +6 more
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Novel start codons introduce novel coding sequences in the human genomes
Start-gain mutations can introduce novel start codons and generate novel coding sequences that may affect the function of genes. In this study, we systematically investigated the novel start codons that were either polymorphic or fixed in the human ...
He Zhang, Yang Xie
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A rectangular cartogram is a kind of graphical representation that uses a rectangular area to represent the attributes of geographical objects and is widely used in the representation of statistical data such as population, economic statistics, and ...
Fenli Jia +5 more
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Disease ontologies for knowledge graphs
Background Data integration to build a biomedical knowledge graph is a challenging task. There are multiple disease ontologies used in data sources and publications, each having its hierarchy.
Natalja Kurbatova, Rowan Swiers
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THE STATE OF THE ART IN ACROBATIC GYMNASTICS: A BIBLIOMETRIC ANALYSIS
Since acrobatic gymnastics is a recent gymnastics discipline, with only a few decades old, with only a few decades old, it is not yet much explored as a scientific research field.
Isaura Leite +6 more
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Enabling quantitative data analysis through e-infrastructures [PDF]
This paper discusses how quantitative data analysis in the social sciences can engage with and exploit an e-Infrastructure. We highlight how a number of activities which are central to quantitative data analysis, referred to as ‘data management’, can ...
Bardsley, N. +26 more
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A deep learning-based model for screening and staging pneumoconiosis
This study aims to develop an artificial intelligence (AI)-based model to assist radiologists in pneumoconiosis screening and staging using chest radiographs.
Liuzhuo Zhang +16 more
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International Migration from Ukraine: Will Trends Increase or Go into Reverse? [PDF]
Ukraine remains today one of the main migrant sending countries in Europe, with thousands of Ukrainians working in Czechia, Italy, Poland and Russia. In this regard, Ukraine shares the previous experience of Central European countries such as the Baltic ...
Hanna Vakhitova, Agnieszka Fihel
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