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- 1From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground It is increasingly clear that common human diseases have a complex genetic architecture characterized by both additive and nonadditive genetic effects. The goal of the present study was to determine...
- 2From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground Next-generation sequencing technologies generate a significant number of short reads that are utilized to address a variety of biological questions. However, quite often, sequencing reads tend to have low...
- 3From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground Algorithms designed to detect complex genetic disease associations are initially evaluated using simulated datasets. Typical evaluations vary constraints that influence the correct detection of underlying...
- 4From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedWith the rapid development of biological technology, measurement of thousands of genes or SNPs can be carried out simultaneously. Improved procedures for multiple hypothesis testing when the number of tests is very...
- 5From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground Identification of genetic variants that are associated with disease is an important goal in elucidating the genetic causes of diseases. The genetic patterns that are associated with common diseases are...
- 6From: BioData Mining. (Vol. 5, Issue 1) Peer-Reviewed
Logic minimization and rule extraction for identification of functional sites in molecular sequences
Background Logic minimization is the application of algebraic axioms to a binary dataset with the purpose of reducing the number of digital variables and/or rules needed to express it. Although logic minimization... - 7From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground Since processes in well-known model organisms have specific features different from those in Bos taurus, the organism under study, a good way to describe gene regulation in ruminant embryos would be a...
- 8From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground Most of the current proteomic researches focus on proteome alteration due to pathological disorders (i.e.: colorectal cancer) rather than normal healthy state when mentioning colon. As a result, there are...
- 9From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground Self organizing maps (SOM) enable the straightforward portraying of high-dimensional data of large sample collections in terms of sample-specific images. The analysis of their texture provides so-called...
- 10From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground Multifactor Dimensionality Reduction (MDR) is a popular and successful data mining method developed to characterize and detect nonlinear complex gene-gene interactions (epistasis) that are associated with...
- 11From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground Reviewer and editor selection for peer review is getting harder for authors and publishers due to the specialization onto narrower areas of research carried by the progressive growth of the body of...
- 12From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedMicroRNAs (miRNAs), a class of endogenous small noncoding RNAs, mediate posttranscriptional regulation of protein-coding genes by binding chiefly to the 3' untranslated region of target mRNAs, leading to translational...
- 13From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground The large sample sizes, freedom of ethical restrictions and ease of repeated measurements make cytotoxicity assays of immortalized lymphoblastoid cell lines a powerful new in vitro method in...
- 14From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground The AthaMap database generates a genome-wide map for putative transcription factor binding sites for A. thaliana. When analyzing transcriptional regulation using AthaMap it may be important to learn which...
- 15From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground In bio-medicine, exploratory studies and hypothesis generation often begin with researching existing literature to identify a set of factors and their association with diseases, phenotypes, or biological...
- 16From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground Geneticists who look beyond single locus disease associations require additional strategies for the detection of complex multi-locus effects. Epistasis, a multi-locus masking effect, presents a particular...
- 17From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground Phenome-Wide Association Studies (PheWAS) can be used to investigate the association between single nucleotide polymorphisms (SNPs) and a wide spectrum of phenotypes. This is a complementary approach to...
- 18From: BioData Mining. (Vol. 5, Issue 1) Peer-ReviewedBackground Each omics platform is now able to generate a large amount of data. Genomics, proteomics, metabolomics, interactomics are compiled at an ever increasing pace and now form a core part of the fundamental...