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Mariko Okada
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2020 – today
- 2024
[i1]Hiroaki Yamagiwa, Ryoma Hashimoto, Kiwamu Arakane, Ken Murakami
, Shou Soeda, Momose Oyama, Mariko Okada
, Hidetoshi Shimodaira
:
Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings. CoRR abs/2406.00984 (2024)- 2023
[c19]Shuhei Kimura, Hirotaka Kitajima, Masato Tokuhisa, Mariko Okada:
Inference of Genetic Networks from Steady-State and Pseudo Time-Series of Single-Cell Gene Expression Data using Modified Random Forests. SSCI 2023: 1579-1586- 2022
[j15]Keita Iida
, Jumpei Kondo, Johannes Nicolaus Wibisana, Masahiro Inoue, Mariko Okada
:
ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes. Bioinform. 38(18): 4330-4336 (2022)
2010 – 2019
- 2019
[j14]Shuhei Kimura
, Masato Tokuhisa, Mariko Okada
:
Inference of genetic networks using random forests: Assigning different weights for gene expression data. J. Bioinform. Comput. Biol. 17(4): 1950015:1-1950015:21 (2019)
[c18]Shuhei Kimura, Masato Tokuhisa, Akiyuki Uemura, Mariko Okada:
Feature Selection based on Random Forests and its Application to a Modeling of Sewage Treatment Plant. TAAI 2019: 1-6- 2018
[c17]Shuhei Kimura, Masato Tokuhisa, Mariko Okada-Hatakeyama:
Inference of Genetic Networks Using Random Forests: Use of Different Weights for Time-Series and Static Gene Expression Data. BIBE 2018: 98-103- 2017
[j13]Trisevgeni Rapakoulia
, Xin Gao
, Yi Huang, Michiel J. L. de Hoon
, Mariko Okada-Hatakeyama
, Harukazu Suzuki, Erik Arner:
Genome-scale regression analysis reveals a linear relationship for promoters and enhancers after combinatorial drug treatment. Bioinform. 33(23): 3696-3700 (2017)
[c16]Shuhei Kimura, Masato Tokuhisa, Mariko Okada-Hatakeyama:
Inference of genetic networks from time-series of gene expression levels using random forests. CIBCB 2017: 1-6- 2016
[c15]Shuhei Kimura, Masato Tokuhisa, Mariko Okada-Hatakeyama:
Simultaneous execution method of gene clustering and network inference. CIBCB 2016: 1-7
[c14]Yuji Okamoto
, Jun-ichi Imura
, Mariko Okada-Hatakeyama:
Observer design of positive quadratic systems. ECC 2016: 843-848- 2015
[j12]Shuhei Kimura, Masanao Sato, Mariko Okada-Hatakeyama:
An Effective Method for the Inference of Reduced S-system Models of Genetic Networks. Inf. Media Technol. 10(1): 166-174 (2015)
[j11]Stuart Aitken, Shigeyuki Magi, Ahmad M. N. Alhendi, Masayoshi Itoh
, Hideya Kawaji
, Timo Lassmann
, Carsten O. Daub, Erik Arner, Piero Carninci
, Alistair R. R. Forrest
, Yoshihide Hayashizaki, Levon M. Khachigian
, Mariko Okada-Hatakeyama
, Colin A. M. Semple
:
Transcriptional Dynamics Reveal Critical Roles for Non-coding RNAs in the Immediate-Early Response. PLoS Comput. Biol. 11(4) (2015)
[c13]Yuji Okamoto
, Jun-ichi Imura
, Mariko Okada-Hatakeyama:
Positive quadratic system representation of molecular interaction in a cell. ECC 2015: 1554-1559
[c12]Shuhei Kimura, Mariko Okada-Hatakeyama:
Improvement of reliabilities of regulations using a hierarchical structure in a genetic network. IJCNN 2015: 1-7- 2013
[c11]Shuhei Kimura, Masanao Sato
, Mariko Okada-Hatakeyama:
Development of an efficient parameter estimation method for the inference of Vohradský's neural network models of genetic networks. IJCNN 2013: 1-6- 2012
[c10]Shuhei Kimura, Koki Matsumura, Mariko Okada-Hatakeyama:
Inference of S-system models of genetic networks by solving linear programming problems and sets of linear algebraic equations. IJCNN 2012: 1-8- 2011
[j10]Yuichi Shiraishi, Mariko Okada-Hatakeyama, Satoru Miyano
:
A rank-based statistical test for measuring synergistic effects between two gene sets. Bioinform. 27(17): 2399-2405 (2011)
[j9]Yoshimi Naruo, Takeshi Nagashima, Ryoko Ushikoshi-Nakayama
, Yuko Saeki, Takashi Nakakuki, Takashi Naka, Hiroshi Tanaka, Shih-Feng Tsai, Mariko Okada-Hatakeyama:
Epidermal growth factor receptor mutation in combination with expression of MIG6 alters gefitinib sensitivity. BMC Syst. Biol. 5: 29 (2011)
[j8]Saswati Dana, Takashi Nakakuki, Mariko Hatakeyama
, Shuhei Kimura, Soumyendu Raha:
Computation of restoration of ligand response in the random kinetics of a prostate cancer cell signaling pathway. Comput. Methods Programs Biomed. 101(1): 1-22 (2011)- 2010
[j7]Yuichi Shiraishi, Shuhei Kimura, Mariko Okada
:
Inferring cluster-based networks from differently stimulated multiple time-course gene expression data. Bioinform. 26(8): 1073-1081 (2010)
[j6]Shuhei Kimura, Yuichi Shiraishi, Mariko Okada:
Inference of Genetic Networks Using Lpms: Assessment of Confidence Values of Regulations. J. Bioinform. Comput. Biol. 8(4): 661-677 (2010)
[c9]Shuhei Kimura, Yusuke Amano, Koki Matsumura, Mariko Okada-Hatakeyama:
Effective parameter estimation for S-system models using LPMs and evolutionary algorithms. IEEE Congress on Evolutionary Computation 2010: 1-8
[c8]Shuhei Kimura, Koki Matsumura, Mariko Okada-Hatakeyama:
Bootstrap Analysis of Genetic Networks inferred by the Method Using LPMs. ICCSA Workshops 2010: 296-299
2000 – 2009
- 2009
[j5]Shuhei Kimura, Satoshi Nakayama, Mariko Hatakeyama
:
Genetic network inference as a series of discrimination tasks. Bioinform. 25(7): 918-925 (2009)
[c7]Shuhei Kimura, Yuichi Shiraishi, Mariko Hatakeyama:
Inference of genetic networks using linear programming machines: Application of a priori knowledge. IJCNN 2009: 1617-1624- 2008
[j4]Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hideki Maeda, Koki Matsumura, Mariko Hatakeyama
:
Function approximation approach to the inference of reduced NGnet models of genetic networks. BMC Bioinform. 9 (2008)- 2007
[c6]Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Kotaro Yoshida, Koki Matsumura, Mariko Hatakeyama:
Inference of Genetic Networks using a Reduced NGnet Model. IJCNN 2007: 932-937- 2006
[c5]Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Koki Matsumura, Mariko Hatakeyama:
Function Approximation Approach to the Inference of Normalized Gaussian Network Models of Genetic Networks. IJCNN 2006: 2218-2225- 2005
[j3]Shuhei Kimura, Kaori Ide, Aiko Kashihara, Makoto Kano, Mariko Hatakeyama
, Ryoji Masui, Noriko Nakagawa, Shigeyuki Yokoyama
, Seiki Kuramitsu, Akihiko Konagaya:
Inference of S-system models of genetic networks using a cooperative coevolutionary algorithm. Bioinform. 21(7): 1154-1163 (2005)
[c4]Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Koki Matsumura, Mariko Hatakeyama:
Inference of genetic networks using neural network models. Congress on Evolutionary Computation 2005: 1738-1745
[c3]Aki Hasegawa, Kazumi Kuriyama-Matsumura, Xiaomei Yu, Mariko Hatakeyama, Akihiko Konagaya:
Software-Aided Mass Spectrometry Analysis for Identification of Protein-Protein Interaction in Signal Transduction Pathways. ICDE Workshops 2005: 1157- 2004
[j2]Shuhei Kimura, Takuji Kawasaki, Mariko Hatakeyama
, Takashi Naka, Fumikazu Konishi, Akihiko Konagaya:
OBIYagns: a grid-based biochemical simulator with a parameter estimator. Bioinform. 20(10): 1646-1648 (2004)
[j1]Akihiko Konagaya, Fumikazu Konishi, Mariko Hatakeyama, Kenji Satou:
The Superstructure toward Open Bioinformatics Grid. New Gener. Comput. 22(2): 167-176 (2004)
[c2]Akinobu Fukuzaki, Takeshi Nagashima, Kaori Ide, Fumikazu Konishi, Mariko Hatakeyama, Shigeyuki Yokoyama, Seiki Kuramitsu, Akihiko Konagaya:
Genome-Wide Functional Annotation Environment forin OBIGrid. LSGRID 2004: 82-91- 2003
[c1]Shuhei Kimura, Mariko Hatakeyama, Akihiko Konagaya:
Inference of S-system models of genetic networks using a genetic local search. IEEE Congress on Evolutionary Computation 2003: 631-638
Coauthor Index

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