Results 31 to 40 of about 918,366 (270)
GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene Interactions From Gene Expression Data [PDF]
arXiv, 2023 Detecting and discovering new gene interactions based on known gene expressions and gene interaction data presents a significant challenge. Various statistical and deep learning methods have attempted to tackle this challenge by leveraging the topological structure of gene interactions and gene expression patterns to predict novel gene interactions. In
arxiv
Digital gene expression analysis of the zebra finch genome [PDF]
, 2010 Background: In order to understand patterns of adaptation and molecular evolution it is important to quantify both variation in gene expression and nucleotide sequence divergence.
Balakrishnan, C.N. +3 more
core +4 more sources
Ascidian gene-expression profiles. [PDF]
Genome biology, 2002 With the advent of gene-expression profiling, a large number of genes can now be investigated simultaneously during critical stages of development. This approach will be particularly informative in studies of ascidians, basal chordates whose genomes and embryology are uniquely suited for mapping developmental gene networks.
openaire +3 more sources
Variation-preserving normalization unveils blind spots in gene expression profiling [PDF]
Scientific Reports 7, 42460 (2017), 2015 RNA-Seq and gene expression microarrays provide comprehensive profiles of gene activity, but lack of reproducibility has hindered their application. A key challenge in the data analysis is the normalization of gene expression levels, which is currently performed following the implicit assumption that most genes are not differentially expressed.
arxiv +1 more source
Enhanced Th17 Responses in Patients with Autoimmune Hepatitis
Middle East Journal of Digestive Diseases, 2019 BACKGROUND T cells are major players in chronic inflammatory diseases such as autoimmune hepatitis (AIH). However, it is not clear which subset of T cells participates in the pathophysiology of the disease.
Farinaz Behfarjam +2 more
doaj +1 more source
The profiling and analysis of gene expression in human periodontal ligament tissue and fibroblasts
Clinical and Experimental Dental Research, 2022 Objectives The periodontal ligament (PDL) is an important component of periodontium to support dental structure in the alveolar socket. Regeneration of PDL tissue is an effective treatment option for periodontal disease and the profiling of genes ...
Nattakarn Hosiriluck +4 more
doaj +1 more source
Frontiers in Oncology, 2021 The treatment of cancer of unknown primary (CUP) is a huge challenge for clinicians. Gene expression profiling can help identify the tissue origin of tumors by detecting the expression levels of specific genes in tumor tissues. Herein, we report four CUP
Xingxiang Pu +6 more
doaj +1 more source
Large-scale gene-expression studies and the challenge of multiple sclerosis. [PDF]
, 2002 In multiple sclerosis, a complex neurodegenerative disorder, a combination of genetic and environmental factors results in inflammation and myelin damage.
Baranzini, Sergio E, Hauser, Stephen L
core +3 more sources
Gene expression profiling of the inner ear [PDF]
Journal of Anatomy, 2015 AbstractThe identification of transcriptional differences has served as an important starting point in understanding the molecular mechanisms behind biological processes and systems. The developmental biology of the inner ear, the biology of hearing and of course the pathology of deafness are all processes that warrant a molecular description if we are
Schimmang, Thomas, Maconochie, Mark
openaire +3 more sources
Functional regression clustering with multiple functional gene expressions [PDF]
arXiv, 2021 Gene expression data is often collected in time series experiments, under different experimental conditions. There may be genes that have very different gene expression profiles over time, but that adjust their gene expression patterns in the same way under experimental conditions.
arxiv