Results 81 to 90 of about 11,677,433 (308)

Graph products of groups [PDF]

open access: yes, 1990
In the 1970's Baudisch introduced the idea of the semifree group, that is, a group in which the only relators are commutators of generators. Baudisch was mainly concerned with subgroup problems, employing length arguments on the elements of these groups.
Green, E.R, Green, Elisabeth Ruth
core   +4 more sources

DAG-VAERL: a novel causal inference method for building causal gene regulatory networks

open access: yesBioData Mining
Background Causal discovery methods provide a powerful tool for uncovering the causal relationships between lncRNAs and target genes in gene regulations.
Teng Long   +3 more
doaj   +1 more source

Tits alternatives for graph products

open access: yes, 2015
We discuss various types of Tits Alternative for subgroups of graph products of groups, and prove that, under some natural conditions, a graph product of groups satisfies a given form of Tits Alternative if and only if each vertex group satisfies this ...
Antolin, Yago, Minasyan, Ashot
core   +1 more source

Pragmatic Graph Rewriting Modifications [PDF]

open access: yes, 1999
We present new pragmatic constructs for easing programming in visual graph rewriting programming languages. The first is a modification to the rewriting process for nodes the host graph, where nodes specified as 'Once Only' in the LHS of a rewrite match ...
Rodgers, Peter   +3 more
core   +1 more source

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

open access: yesFEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court   +3 more
wiley   +1 more source

Spatially Informed Graph Structure Learning Extracts Insights from Spatial Transcriptomics

open access: yesAdvanced Science
Embeddings derived from cell graphs hold significant potential for exploring spatial transcriptomics (ST) datasets. Nevertheless, existing methodologies rely on a graph structure defined by spatial proximity, which inadequately represents the diversity ...
Wan Nie   +4 more
doaj   +1 more source

Leaps: an approach to the block structure of a graph [PDF]

open access: yes
To study the block structure of a connected graph G=(V,E), we introduce two algebraic approaches that reflect this structure: a binary operation + called a leap operation and a ternary relation L called a leap system, both on a finite, nonempty set V ...
Mulder, H.M., Nebesky, L.
core  

Testing hereditary properties of nonexpanding bounded-degree graphs [PDF]

open access: yes, 2007
We study graph properties that are testable for bounded-degree graphs in time independent of the input size. Our goal is to distinguish between graphs having a predetermined graph property and graphs that are far from every graph having that property. It
Christian Sohler   +5 more
core   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu   +21 more
wiley   +1 more source

A dynamic graph structural framework for implicit sentiment identification based on complementary semantic and structural information

open access: yesScientific Reports
Implicit sentiment identification has become the classic challenge in text mining due to its lack of sentiment words. Recently, graph neural network (GNN) has made great progress in natural language processing (NLP) because of its powerful feature ...
Yuxia Zhao   +3 more
doaj   +1 more source

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