Dynamic Bayesian networks in molecular plant science: inferring gene regulatory networks from multiple gene expression time series [PDF]
To understand the processes of growth and biomass production in plants, we ultimately need to elucidate the structure of the underlying regulatory networks at the molecular level.
Dondelinger, F. +8 more
core +1 more source
Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes [PDF]
Abstract Rheumatoid arthritis (RA, MIM 180300) is a chronic and complex autoimmune disease. Using the North American Rheumatoid Arthritis Consortium (NARAC) data set provided in Genetic Analysis Workshop 16 (GAW16), we used the genotype-trait distortion (GTD) scores and proposed analysis procedures to capture the gene-gene interaction effects
Huang, Chien-Hsun +5 more
openaire +4 more sources
Self-Optimization in Continuous-Time Recurrent Neural Networks
A recent advance in complex adaptive systems has revealed a new unsupervised learning technique called self-modeling or self-optimization. Basically, a complex network that can form an associative memory of the state configurations of the attractors on ...
Mario Zarco, Tom Froese, Tom Froese
doaj +1 more source
Are trait‐associated genes clustered together in a gene network?
AbstractGenome‐wide association studies (GWAS) have provided an abundance of information about the genetic variants and their loci that are associated to complex traits and diseases. However, due to linkage disequilibrium (LD) and noncoding regions of loci, it remains a challenge to pinpoint the causal genes.
Hyun Jung Koo, Wei Pan
openaire +2 more sources
Gene selection and disease prediction from gene expression data using a two-stage hetero-associative memory [PDF]
In general, gene expression microarrays consist of a vast number of genes and very few samples, which represents a critical challenge for disease prediction and diagnosis.
Cleofás Sánchez, Laura +6 more
core +1 more source
A neural network-based model framework for cell-fate decisions and development
Gene regulatory networks (GRNs) fulfill the essential function of maintaining the stability of cellular differentiation states by sustaining lineage-specific gene expression, while driving the progression of development.
Mátyás Paczkó +5 more
doaj +1 more source
We investigated the distinctiveness of gene regulatory networks in CA1 associated with the extinction of contextual fear memory (CFM) after recall using Affymetrix GeneChip Rat Genome 230 2.0 Arrays.
Birger Scholz +5 more
doaj +1 more source
Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution. [PDF]
The developmental mechanisms through which the cerebral cortex increased in size and complexity during primate evolution are essentially unknown.
Nelle Lambert +11 more
doaj +1 more source
Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin +17 more
wiley +1 more source
Drought is a critical factor limiting the productivity of bread wheat (Triticum aestivum L.), one of the key agricultural crops. Wheat adaptation to water deficit is ensured by complex molecular genetic mechanisms, including the coordinated work of ...
M. A. Kleshchev +9 more
doaj +1 more source

