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A protein network refinement method based on module discovery and biological information
BackgroundThe identification of essential proteins can help in understanding the minimum requirements for cell survival and development to discover...
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GPAD: a natural language processing-based application to extract the gene-disease association discovery information from OMIM
BackgroundThousands of genes have been associated with different Mendelian conditions. One of the valuable sources to track these gene-disease...
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Text Causal Discovery Based on Sequence Structure Information
Causality forms the basis for reasoning and decision-making in artificial intelligence systems. To take advantage of the vast amount of textual data...
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Semantic Relations and Information Discovery
The treatment of semantic relations between terms is essential in information retrieval (IR). Each term in a thesaurus might have classes of...
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Avoiding background knowledge: literature based discovery from important information
BackgroundAutomatic literature based discovery attempts to uncover new knowledge by connecting existing facts: information extracted from existing...
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Network embedding framework for driver gene discovery by combining functional and structural information
Comprehensive analysis of multiple data sets can identify potential driver genes for various cancers. In recent years, driver gene discovery based on...
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Discovery
This chapter looks at Solution-Focused Negotiation (SFN) as a discovery procedure, the art of finding key game changers that enable conflicting...
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Modifying the false discovery rate procedure based on the information theory under arbitrary correlation structure and its performance in high-dimensional genomic data
BackgroundControlling the False Discovery Rate (FDR) in Multiple Comparison Procedures (MCPs) has widespread applications in many scientific fields....
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Distributed Physical Device Connection Relationship Discovery Technology Based on Traffic Information
Cloud data center networks have a complex structure, in which multiple network protocols are utilised to participate in the composition of the data...
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Leveraging language representation for materials exploration and discovery
Data-driven approaches to materials exploration and discovery are building momentum due to emerging advances in machine learning. However,...
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Price discovery and volatility spillovers in the interest rate derivatives market
The interest rate derivatives market is an important force in promoting the development of the bond market and is an effective tool to manage...
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Graph contrastive learning with cross-encoder for community discovery
Community detection is a crucial task that enables the extraction of valuable knowledge and patterns from complex networks. However, the node labels...
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Discovery, Retrieval
This chapter describes the emergence of the differentiation between traditional librarianship with its focus on collections, which has become...
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Closed-loop superconducting materials discovery
Discovery of novel materials is slow but necessary for societal progress. Here, we demonstrate a closed-loop machine learning (ML) approach to...
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Scaling deep learning for materials discovery
Novel functional materials enable fundamental breakthroughs across technological applications from clean energy to information processing
1 –11 . From...
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Are consumers averse to sponsored messages? The role of search advertising in information discovery
We analyze a large-scale randomized field experiment in which a search engine varied the prominence of search ads for 3.3 million US users: one group...
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Coreset Discovery for Machine Learning Problems
The authors review a coreset discovery problem and three main methods to solve it: geometric coreset estimation, coreset discovery using the genetic...
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Discovery of Workflow Patterns - A Comparison of Process Discovery Algorithms
Process mining provides a set of techniques and algorithms to analyze, support, and improve business processes based on process execution data....
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Material Discovery
While the previous chapter focussed on the development of ML modelsModels for property, this chapter discusses how those surrogate modelsModels can...