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 Journal発表実績

18.常に完全(100%)分類を実現するKY法の開発(K-step Yard sampling methods):Development of the KY Methods which Achieves Perfect (100%)Classification under Any Condition
湯田浩太郎, Molecular Science, 6, NP0020 (2012)

17.skin sensitization study by a new qualitative structure-toxicity relationships (QSAR) approach: K-step yard sampling (KY) methods,
K.Sato, T.Umemura, T.Tamura, Y.Kusaka, K.Aoyama, A.Ueda, K.Harada, K.MInamoto, T.Otsuki, K.Yamashita, M.Haistuka, T.Takeshita, E.Shibata, K.Dobashi, S.Kameo, M.Miyagawa, M.Kaniwa, T.Yoshida, T.fukushima,
K.Yuta, J Oral Tissue Engin 9(3): 167-173, 2012

16.Experimental estimation of postmortem interval using multivariate analysis of proton NMR metabolic data,
K.Hirakawa, K.Koike, K.Uekusa, M.Nihira, K.Yuta, Y.Ohno, Legal Med., 11, 5282-5285 (2009)

15.Skin Sensitization Study by Quantitative Structure-Activity relationships (QSAR)

Kazuhiro Sato et al., AATEX 14(3), pp 940-946 (2009) 

14.Integrated insilico Screening and Drug Design System
-Activity, ADME, Toxicity, Property Analysis and Prediction-
Kohtaro Yuta et al.,

QSAR & Molecular Modelling in Rational Design of Bioactive Molecules, Eds. Esin AKI and Ismail YALCIN,(Computer Aided Drug Design & Development Society in Turkey, Ankara Turkey,2004), pp538-543.

13.グリーンケミストリーとADMEWORKS

湯田 浩太郎、北島正人、Ciloy Martin Jose雑誌FUJITSU, 54, 471-479(2003) 

12.バイオ,蛋白,化合物の統合情報:ドラッグインフォマティクス

湯田 浩太郎、雑誌FUJITSU, 53, 346-352(2002)

11.実測データからの化学情報の抽出 :総論.

    湯田 浩太郎,ぶんせき,7,520-526(1994)

10.バックプロパゲーションのネットワーク構造から情報を読む.

    湯田 浩太郎,CICSJ BULLETIN,11,31-34(1993) 

9.ニューラルネットワークによる類似化合物の分類.

    湯田 浩太郎,CICSJ BULLETIN,9,28-29(1991)

8. Structure-Activity Relationship Study of the Quinolone Antibacterials

    by the neuralnetworks.

  Kohtaro Yuta, Computer Aided Innovation of New Materials, Eds.

     M.Doyama,T.Suzuki,J.Kihara and R.Yamamoto (Elsevier;North-Holland,1991),

     pp.49-51.

7. Development of  Hyper Volume" Conception for Pattern Recognition and

     Statistics.     Applied on Classification Problems (I)

  Kohtaro Yuta, Bull.Compu.Statist.Japan, 4, 1 (1991).

6. Computer-Assisted Structure-Activity Studies of Chemical Carcinogens:

    Aromatic Amines. II. Rat and Liver Data Set

  Kohtaro Yuta and Peter C. Jurs, Yakugaku Zasshi, 104, 496(1984)

5. Computer-Assisted Structure-Activity Studies of Chemical Carcinogens:

    Aromatic Amines

   Kohtaro Yuta and Peter C. Jurs, Jour.Med.Chem., 24, 241(1981)

4. Comment on the Application of Feature Selection Method for Binary Coded

     Patterns

   Yoshikatsu Miyashita, Hidetsugu Abe, Shin-ichi Sasaki, and

   Kohtaro Yuta, Anal.Chem., 50, 1580 (1978)      

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