Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Boxin Guan"'
Publikováno v:
BMC Genomics, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract Comprehensive analysis of multiple data sets can identify potential driver genes for various cancers. In recent years, driver gene discovery based on massive mutation data and gene interaction networks has attracted increasing attention, but
Externí odkaz:
https://doaj.org/article/7dce55c3292946609267422b3b3bb473
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-12 (2022)
Abstract Background MicroRNAs (miRNAs) have been confirmed to be inextricably linked to the emergence of human complex diseases. The identification of the disease-related miRNAs has gradually become a routine way to unveil the genetic mechanisms of e
Externí odkaz:
https://doaj.org/article/82af842b01724a069e2890dec08e5cda
Publikováno v:
Genes, Vol 13, Iss 12, p 2286 (2022)
Simulation experiments are essential to evaluate epistasis detection methods, which is the main way to prove their effectiveness and move toward practical applications. However, due to the lack of effective simulators, especially for simulating model
Externí odkaz:
https://doaj.org/article/0897830d2dfa46a4810806ab163a8803
Publikováno v:
Genes, Vol 13, Iss 12, p 2403 (2022)
Epistatic interactions are referred to as SNPs (single nucleotide polymorphisms) that affect disease development and trait expression nonlinearly, and hence identifying epistatic interactions plays a great role in explaining the pathogenesis and gene
Externí odkaz:
https://doaj.org/article/c3c0ad684a7c44e8a8477a844f5ca1cb
Publikováno v:
IEEE Access, Vol 7, Pp 69604-69613 (2019)
Epistatic interactions are generally defined as the interactions between different single-nucleotide polymorphisms (SNPs). Identifying epistatic interactions is important for determining the individual susceptibility of complex diseases. In large-sca
Externí odkaz:
https://doaj.org/article/4ce03bb1cd2e4879a396fec918ba09c4
Publikováno v:
Genes, Vol 13, Iss 5, p 871 (2022)
In genome-wide association studies, epistasis detection is of great significance for the occurrence and diagnosis of complex human diseases, but it also faces challenges such as high dimensionality and a small data sample size. In order to cope with
Externí odkaz:
https://doaj.org/article/90bb47a689b14136825709d78a82aead
Publikováno v:
AMB Express, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract Protein–ligand docking plays an important role in computer-aided pharmaceutical development. Protein–ligand docking can be defined as a search algorithm with a scoring function, whose aim is to determine the conformation of the ligand an
Externí odkaz:
https://doaj.org/article/f28aa4225bba4c90a563ccd55ed312d1
Publikováno v:
Entropy, Vol 21, Iss 8, p 766 (2019)
Solving the constraint satisfaction problem (CSP) is to find an assignment of values to variables that satisfies a set of constraints. Ant colony optimization (ACO) is an efficient algorithm for solving CSPs. However, the existing ACO-based algorithm
Externí odkaz:
https://doaj.org/article/7e5a8277e30a494a97e9203197c0b725
Autor:
Boxin Guan, Yuhai Zhao
Publikováno v:
Genes, Vol 10, Iss 2, p 114 (2019)
The epistatic interactions of single nucleotide polymorphisms (SNPs) are considered to be an important factor in determining the susceptibility of individuals to complex diseases. Although many methods have been proposed to detect such interactions,
Externí odkaz:
https://doaj.org/article/ebbfb43d3c6d480d87d5a57cb6ccdc3b
Publikováno v:
International Journal of Molecular Sciences, Vol 19, Iss 4, p 1181 (2018)
Protein–ligand docking is a process of searching for the optimal binding conformation between the receptor and the ligand. Automated docking plays an important role in drug design, and an efficient search algorithm is needed to tackle the docking p
Externí odkaz:
https://doaj.org/article/565e407aab3e4007bf1f8573175b1170