Dalei Jiang,Yin Wang,Feng Zhou et al.
Dalei Jiang et al.
Background: Image segmentation is a difficult and classic problem. It has a wide range of applications, one of which is skin lesion segmentation. Numerous researchers have made great efforts to tackle the problem, yet the...
Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs [0.03%]
基于前额叶fNIRS的不同类型药物滥用个体脑功能临床数据分析
Xuelin Gu,Banghua Yang,Shouwei Gao et al.
Xuelin Gu et al.
Background: The activation degree of the orbitofrontal cortex (OFC) functional area in drug abusers is directly related to the craving for drugs and the tolerance to punishment. Currently, among the clinical research on d...
FAIR data representation in times of eScience: a comparison of instance-based and class-based semantic representations of empirical data using phenotype descriptions as example [0.03%]
eScience时代公平数据表示：以表型描述为例的实例基础和类基础语义表示的比较
Lars Vogt
Lars Vogt
Background: The size, velocity, and heterogeneity of Big Data outclasses conventional data management tools and requires data and metadata to be fully machine-actionable (i.e., eScience-compliant) and thus findable, acces...
Cecilia Reyes-Peña,Mireya Tovar,Maricela Bravo et al.
Cecilia Reyes-Peña et al.
Background: Medical experts in the domain of Diabetes Mellitus (DM) acquire specific knowledge from diabetic patients through monitoring and interaction. This allows them to know the disease and information about other co...
CIDO ontology updates and secondary analysis of host responses to COVID-19 infection based on ImmPort reports and literature [0.03%]
基于ImmPort报告和文献的COVID-19感染宿主响应的二次分析及CIDO本体更新
Anthony Huffman,Anna Maria Masci,Jie Zheng et al.
Anthony Huffman et al.
Background: With COVID-19 still in its pandemic stage, extensive research has generated increasing amounts of data and knowledge. As many studies are published within a short span of time, we often lose an integrative and...
Linking common human diseases to their phenotypes; development of a resource for human phenomics [0.03%]
将常见人类疾病与其表型联系起来；开发一种人类表型组资源
Şenay Kafkas,Sara Althubaiti,Georgios V Gkoutos et al.
Şenay Kafkas et al.
Background: In recent years a large volume of clinical genomics data has become available due to rapid advances in sequencing technologies. Efficient exploitation of this genomics data requires linkage to patient phenotyp...
Syntax-based transfer learning for the task of biomedical relation extraction [0.03%]
基于句法的转移学习在生物医学关系抽取任务中的应用
Joël Legrand,Yannick Toussaint,Chedy Raïssi et al.
Joël Legrand et al.
Background: Transfer learning aims at enhancing machine learning performance on a problem by reusing labeled data originally designed for a related, but distinct problem. In particular, domain adaptation consists for a sp...
C Maria Keet,Rolf Grütter
C Maria Keet
Background: The ontology authoring step in ontology development involves having to make choices about what subject domain knowledge to include. This may concern sorting out ontological differences and making choices betwe...
ResidueFinder: extracting individual residue mentions from protein literature [0.03%]
ResidueFinder：从蛋白质文献中提取单个残基名称
Ton E Becker,Eric Jakobsson
Ton E Becker
Background: The revolution in molecular biology has shown how protein function and structure are based on specific sequences of amino acids. Thus, an important feature in many papers is the mention of the significance of ...
Shane Babcock,John Beverley,Lindsay G Cowell et al.
Shane Babcock et al.
Background: Effective response to public health emergencies, such as we are now experiencing with COVID-19, requires data sharing across multiple disciplines and data systems. Ontologies offer a powerful data sharing tool...