Results 41 to 50 of about 2,615,001 (338)

Identification of drug and protein-protein interaction network among stress and depression: A bioinformatics approach

open access: yesInformatics in Medicine Unlocked, 2023
The fields of data mining, computational biology, and statistics have been combined to form the massive research area of bioinformatics. In the areas of genetics, education, and healthcare, bioinformatics integrates the tools available in different ...
Md. Abul Basar   +5 more
doaj   +1 more source

Gene-centric gene-gene interaction: A model-based kernel machine method

open access: yes, 2012
Much of the natural variation for a complex trait can be explained by variation in DNA sequence levels. As part of sequence variation, gene-gene interaction has been ubiquitously observed in nature, where its role in shaping the development of an ...
Cui, Yuehua, Li, Shaoyu
core   +1 more source

Gene transcription analysis during interaction between potato and Ralstonia solanacearum [PDF]

open access: yes, 2010
Bacterial wilt (BW) caused by Ralstonia solanacearum (Rs) is an important quarantine disease that spreads worldwide and infects hundreds of plant species. The BW defense response of potato is a complicated continuous process, which involves transcription
Huang, S.W.   +7 more
core   +2 more sources

FASTCHI: AN EFFICIENT ALGORITHM FOR ANALYZING GENE-GENE INTERACTIONS [PDF]

open access: yesBiocomputing 2009, 2008
Recent advances in high-throughput genotyping have inspired increasing research interests in genome-wide association study for diseases. To understand underlying biological mechanisms of many diseases, we need to consider simultaneously the genetic effects across multiple loci.
Xiang Zhang 0001, Fei Zou, Wei Wang 0010
openaire   +3 more sources

Efficient regularized isotonic regression with application to gene--gene interaction search

open access: yes, 2012
Isotonic regression is a nonparametric approach for fitting monotonic models to data that has been widely studied from both theoretical and practical perspectives.
Luss, Ronny   +2 more
core   +1 more source

Statistical Indicators of Collective Behavior and Functional Clusters in Gene Networks of Yeast [PDF]

open access: yes, 2005
We analyze gene expression time-series data of yeast S. cerevisiae measured along two full cell-cycles. We quantify these data by using q-exponentials, gene expression ranking and a temporal mean-variance analysis.
Tadic, Bosiljka   +3 more
core   +2 more sources

Machine Learning for Detecting Gene-Gene Interactions [PDF]

open access: yesApplied Bioinformatics, 2006
Complex interactions among genes and environmental factors are known to play a role in common human disease aetiology. There is a growing body of evidence to suggest that complex interactions are 'the norm' and, rather than amounting to a small perturbation to classical Mendelian genetics, interactions may be the predominant effect.
Brett A, McKinney   +3 more
openaire   +2 more sources

A gene–gene interaction between the vascular endothelial growth factor a and brain-derived neurotrophic factor genes is associated with psychological distress in the Taiwanese population

open access: yesTaiwanese Journal of Psychiatry, 2019
Background: Vascular endothelial growth factor A (VEGFA) and brain-derived neurotrophic factor (BDNF), the most abundant and widely expressed neurotrophic factors in the brain, are believed to play an important rôle in depression and anxiety.
Eugene Lin   +4 more
doaj   +1 more source

Diverged and Active Partitiviruses in Lichen

open access: yesFrontiers in Microbiology, 2020
The lichen is a microbial consortium that mainly consists of fungi and either algae (Viridiplantae) or cyanobacteria. This structure also contains other bacteria, fungi, and viruses.
Syun-ichi Urayama   +11 more
doaj   +1 more source

Identification of transcriptional regulatory networks specific to pilocytic astrocytoma. [PDF]

open access: yes, 2011
BackgroundPilocytic Astrocytomas (PAs) are common low-grade central nervous system malignancies for which few recurrent and specific genetic alterations have been identified.
Deshmukh, Hrishikesh   +8 more
core   +3 more sources

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