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文献信息
Statistical Applications in Genetics and Molecular Biology seeks to publish significant research on the application of statistical ideas to problems arising from computational biology. The focus of the papers should be on the relevant statistical issues but should contain a succinct description of the relevant biological problem being considered. The range of topics is wide and will include topics such as linkage mapping, association studies, gene finding and sequence alignment, protein structure prediction, design and analysis of microarray data, molecular evolution and phylogenetic trees, DNA topology, and data base search strategies. Both original research and review articles will be warmly received.
False Discovery RateMicroarray DataGene Expression DataMultiple TestingGenome-wide AssociationVariable SelectionGene ExpressionDifferentially Expressed GenesModel SelectionGenetic Association StudiesApproximate Bayesian ComputationGenetic AssociationDifferential ExpressionMixture ModelLinkage DisequilibriumMarkov Chain Monte CarloTest StatisticsGene Regulatory NetworksHidden Markov ModelEM Algorithm
vol.24 (2025)
vol.23 (2024)
vol.22 (2023)
vol.21 (2022)
vol.20 (2021)
vol.19 (2020)
vol.18 (2019)
vol.17 (2018)
vol.16 (2017)
vol.15 (2016)
vol.14 (2015)
vol.13 (2014)
vol.12 (2013)
vol.11 (2012)
vol.10 (2011)
vol.9 (2010)
vol.8 (2009)
vol.7 (2008)
vol.6 (2007)
vol.5 (2006)
vol.4 (2005)