Mariko Okada

According to our database1, Mariko Okada authored at least 34 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Inference of Genetic Networks from Steady-State and Pseudo Time-Series of Single-Cell Gene Expression Data using Modified Random Forests.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes.
Bioinform., 2022

2019
Inference of genetic networks using random forests: Assigning different weights for gene expression data.
J. Bioinform. Comput. Biol., 2019

Feature Selection based on Random Forests and its Application to a Modeling of Sewage Treatment Plant.
Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

2018
Inference of Genetic Networks Using Random Forests: Use of Different Weights for Time-Series and Static Gene Expression Data.
Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

2017
Genome-scale regression analysis reveals a linear relationship for promoters and enhancers after combinatorial drug treatment.
Bioinform., 2017

Inference of genetic networks from time-series of gene expression levels using random forests.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016
Observer design of positive quadratic systems.
Proceedings of the 15th European Control Conference, 2016

Simultaneous execution method of gene clustering and network inference.
Proceedings of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016

2015
Transcriptional Dynamics Reveal Critical Roles for Non-coding RNAs in the Immediate-Early Response.
PLoS Comput. Biol., 2015

Improvement of reliabilities of regulations using a hierarchical structure in a genetic network.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Positive quadratic system representation of molecular interaction in a cell.
Proceedings of the 14th European Control Conference, 2015

2014
A promoter-level mammalian expression atlas.
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Nat., 2014

2013
Development of an efficient parameter estimation method for the inference of Vohradský's neural network models of genetic networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Inference of S-system models of genetic networks by solving linear programming problems and sets of linear algebraic equations.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Computation of restoration of ligand response in the random kinetics of a prostate cancer cell signaling pathway.
Comput. Methods Programs Biomed., 2011

Epidermal growth factor receptor mutation in combination with expression of MIG6 alters gefitinib sensitivity.
BMC Syst. Biol., 2011

A rank-based statistical test for measuring synergistic effects between two gene sets.
Bioinform., 2011

2010
Inference of Genetic Networks Using Lpms: Assessment of Confidence Values of Regulations.
J. Bioinform. Comput. Biol., 2010

Inferring cluster-based networks from differently stimulated multiple time-course gene expression data.
Bioinform., 2010

Bootstrap Analysis of Genetic Networks inferred by the Method Using LPMs.
Proceedings of the Prodeedings of the 2010 International Conference on Computational Science and Its Applications, 2010

Effective parameter estimation for S-system models using LPMs and evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Genetic network inference as a series of discrimination tasks.
Bioinform., 2009

Inference of genetic networks using linear programming machines: Application of a priori knowledge.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Function approximation approach to the inference of reduced NGnet models of genetic networks.
BMC Bioinform., 2008

2007
Inference of Genetic Networks using a Reduced NGnet Model.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Function Approximation Approach to the Inference of Normalized Gaussian Network Models of Genetic Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Inference of S-system models of genetic networks using a cooperative coevolutionary algorithm.
Bioinform., 2005

Software-Aided Mass Spectrometry Analysis for Identification of Protein-Protein Interaction in Signal Transduction Pathways.
Proceedings of the 21st International Conference on Data Engineering Workshops, 2005

Inference of genetic networks using neural network models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
The Superstructure toward Open Bioinformatics Grid.
New Gener. Comput., 2004

OBIYagns: a grid-based biochemical simulator with a parameter estimator.
Bioinform., 2004

Genome-Wide Functional Annotation Environment forin OBIGrid.
Proceedings of the Grid Computing in Life Science, 2004

2003
Inference of S-system models of genetic networks using a genetic local search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003


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