Author of the publication

A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models.

, , , , , , , and . Comput. Stat. Data Anal., (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Imoto, Seiya
add a person with the name Imoto, Seiya
 

Other publications of authors with the same name

A Bayesian model integration for mutation calling through data partitioning., , , , , and . Bioinform., 35 (21): 4247-4254 (2019)Interaction-Based Feature Selection for Uncovering Cancer Driver Genes Through Copy Number-Driven Expression Level., , , and . J. Comput. Biol., 24 (2): 138-152 (2017)Utilizing Evolutionary Information and Gene Expression Data for Estimating Gene Networks with Bayesian Network Models., , , , , and . J. Bioinform. Comput. Biol., 3 (6): 1295-1314 (2005)Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram., , , , , and . J. Softw., 11 (8): 756-767 (2016)Model-free unsupervised gene set screening based on information enrichment in expression profiles., , , , , , and . Bioinform., 26 (24): 3090-3097 (2010)Inferring dynamic gene networks under varying conditions for transcriptomic network comparison., , , , and . Bioinform., 26 (8): 1064-1072 (2010)Recursive regularization for inferring gene networks from time-course gene expression profiles., , , , , and . BMC Syst. Biol., (2009)Functional Data Analysis of the Dynamics of Gene Regulatory Networks., , and . KELSI, volume 3303 of Lecture Notes in Computer Science, page 69-83. Springer, (2004)Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification., , , , , , , , , and . Bioinform., (March 2023)Estimating Genome-Wide Gene Networks Using Nonparametric Bayesian Network Models on Massively Parallel Computers., , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 8 (3): 683-697 (2011)