1 - 20 of about 49
Inference of Genetic Networks from Steady-state and\\ Pseudo Time-series of Single-cell Gene Expression Data using Modified Random Forests , S.Kimura, H.Kitajima, M.Tokuhisa, M.Okada , Proc. of the 2023 IEEE Symposium Series on Computational Intelligence , vol.1 (p.1579 - 1586) , 2023 , There is Review , The Multiple Authorship , English
Inference of Genetic Networks using Random Forests: Performance Improvement using a New Variable Importance Measure , S.Kimura, Y.Takeda, M.Tokuhisa, M.Okada , Chem-Bio Informatics Journal , vol.22 (p.88 - 109) , 2022 , There is Review , The Multiple Authorship , English
Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression Data , S.Kimura, K.Sota, M.Tokuhisa , Proc. of the 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology , vol.1 (p.123 - 130) , 2022 , The Multiple Authorship , English
Feature Selection using Modified Null Importance , S.Kimura, D.Oda, M.Tokuhisa , Proc. of the 2021 IEEE Symposium Series on Computational Intelligence , vol.1 (p.1 - 7) , 2021 , The Multiple Authorship , English
Detection of Weak Relevant Variables using Random Forests , S.Kimura and M.Tokuhisa , Proc. of the SICE Annual Conference 2020 (p.838 - 845) , 2020 , There is Review , The Multiple Authorship , English
Inference of genetic networks from time-series and static gene expression data: combining a random-forest-based inference method with feature selection methods , S.Kimura, R.Fukutomi, M.Tokuhisa and M.Okada , Frontiers in Genetics , vol.11 (595912) (p.1 - 11) , 2020 , There is Review , The Multiple Authorship , English
Inference of Genetic Networks using Random Forests: Assigning Different Weights for Gene Expression Data , S.Kimura, M.Tokuhisa, M.Okada , Journal of Bioinformatics and Computational Biology , vol.17 (4) (p.1950015 - ) , 2019 , The Multiple Authorship , English
Feature Selection based on Random Forests and its Application to a Modeling of Sewage Treatment Plant , S.Kimura, M.Tokuhisa, A.Uemura, M.Okada , Proc of the 24th International Conference on Technologies and Applications of Artificial Intelligence , vol.0 (0) (p.1 - 6) , 2019 , There is Review , The Multiple Authorship , English
Service-oriented Utterance Sentence Analysis in Small Computers , M.Tokuhisa, S.Kimura , Journal of Natural Language Processing , vol.26 (3) (p.545 - 578) , 2019 , There is Review , The Multiple Authorship , Japanese
Transcriptionally inducible Pleckstrin homology-like domain family A member 1 attenuates ErbB receptor activity by inhibiting receptor oligomerization , S.Magi, K.Iwamoto, N.Yumoto, M.Hiroshima, T.Nagashima, R.Ohki, A.Garcia-Munoz, N.Volinsky, A. von Kriegsheim, Y.Sako, K.Takahashi, B.N.Kholodenko, S.Kimura, M.Okada-Hatakeyama , J. of Biological Chemistry , vol.293 (p.2206 - 2218) , 2018 , There is Review , The Multiple Authorship , English
Inference of Genetic Networks Using Random Forests: Use of Different Weights for Time-series and Static Gene Expression Data , S.Kimura, M.Tokuhisa and M. Okada-Hatakeyama , Proc. of the 18th IEEE International Conference on Bioinformatics and Bioengineering (p.98 - 103) , 2018 , There is Review , The Multiple Authorship , English
Using A Priori Knowledge after Genetic Network Inference: Integrating Multiple Kinds of Knowledge , S.Kimura, K.Kitazawa, M.Tokuhisa, M.Okada-Hatakeyama , Chem-Bio Informatics Journal , vol.17 (p.53 - 71) , 2017 , There is Review , The Multiple Authorship , English
Inference of Genetic Networks from Time-series of Gene Expression Levels Using Random Forests , S.Kimura, M.Tokuhisa, M. Okada-Hatakeyama , Proc. of the 2017 Conference on Computational Intelligence in Bioinformatics and Computational Biology , vol.1 (p.22 - 27) , 2017 , There is Review , The Multiple Authorship , English
Genetic Network Inference using Hierarchical Structure , S.Kimura, M.Tokuhisa, M.Okada-Hatakeyama , Frontiers in Physiology , vol.7 (57) (p.1 - 12) , 2016 , There is Review , The Multiple Authorship , English
Recommending Paragraphs of Wikipedia Pages as a Travel Guide , M.Tokuhisa, Y.Ishihara, S.Kimura, K.Oku , Proc. of the 9th International Workshop on Computational Intelligence and Applications (p.57 - 62) , 2016 , There is Review , The Multiple Authorship , English
Simultaneous Execution Method of Gene Clustering and Network Inference , S.Kimura, M.Tokuhisa, M. Okada-Hatakeyama , Proc. of the 2016 Conference on Computational Intelligence in Bioinformatics and Computational Biology (p.1 - 7) , 2016 , There is Review , The Multiple Authorship , English
Improvement of Reliabilities of Regulations using a Hierarchical Structure in a Genetic Network , S.Kimura, M.Okada-Hatakeyama , Proc. of the 2015 International Joint Conference on Neural Networks (p.485 - 491) , 2015 , There is Review , The Multiple Authorship , English
An Effective Method for the Inference of Reduced S-system Models of Genetic Networks , S.Kimura, M.Sato, M.Okada-Hatakeyama , IPSJ Transactions on Bioinformatics , vol.7 (p.30 - 38) , 2014.12 , There is Review , The Multiple Authorship , English
A Fast Parameter Estimation Method for Inferring Reduced S-system Models of Genetic Networks , S.Kimura, M. Furuta, M. Sato, M. Okada-Hatakeyama , Proc. of 2014 International Conference on Information Systems and Computing Technology (p.45 - 50) , 2014.10 , There is Review , The Multiple Authorship , English
Positive Feedback within a Kinase Signaling Complex Functions as a Switch Mechanism for NF-kB Activation , H.Shinohara, M.Behar, K.Inoue, M.Hiroshima, T.Yasuda, T.Nagashima, S.Kimura, H.Sanjo, S.Maeda, N.Yumoto, S.Ki, S.Akira, Y.Sako, A.Hoffmann, T.Kurosaki, M.Okada-Hatakeyama , Science , vol.344 (p.760 - 764) , 2014 , There is Review , The Multiple Authorship , English