Erratum to: “47glioblastoma Gene Expression Profile Diagnostics by the Artificial Neural Networks”

Optical Memory and Neural Networks ◽

10.3103/s1060992x10040132 ◽

2010 ◽

Vol 19 (4) ◽

pp. 344-344

Author(s):

Y. A. Kuperin ◽

A. A. Mekler ◽

I. Kniazeva ◽

D. R. Schwartz ◽

V. V. Dmitrenko ◽

...

Keyword(s):

Gene Expression ◽

Neural Networks ◽

Artificial Neural Networks ◽

Gene Expression Profile ◽

Expression Profile ◽

Artificial Neural

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47Glioblastoma gene expression profile diagnostics by the artificial neural networks

Optical Memory and Neural Networks ◽

10.3103/s1060992x10020098 ◽

2010 ◽

Vol 19 (2) ◽

pp. 181-186 ◽

Author(s):

A. A. Mekler ◽

I. Knyazeva ◽

D. R. Schwartz ◽

Y. A. Kuperin ◽

V. V. Dmitrenko ◽

...

Keyword(s):

Gene Expression ◽

Neural Networks ◽

Artificial Neural Networks ◽

Gene Expression Profile ◽

Expression Profile ◽

Artificial Neural

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A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks

Breast Cancer Research and Treatment ◽

10.1007/s10549-009-0378-1 ◽

2009 ◽

Vol 120 (1) ◽

pp. 83-93 ◽

Author(s):

L. J. Lancashire ◽

D. G. Powe ◽

J. S. Reis-Filho ◽

E. Rakha ◽

C. Lemetre ◽

...

Keyword(s):

Breast Cancer ◽

Gene Expression ◽

Neural Networks ◽

Artificial Neural Networks ◽

Clinical Outcome ◽

Gene Expression Profile ◽

Expression Profile ◽

Artificial Neural

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Estimation of soil temperature using gene expression programming and artificial neural networks in a semiarid region

Environmental Earth Sciences ◽

10.1007/s12665-017-6395-1 ◽

2017 ◽

Vol 76 (2) ◽

Author(s):

Javad Behmanesh ◽

Saeid Mehdizadeh

Keyword(s):

Gene Expression ◽

Neural Networks ◽

Artificial Neural Networks ◽

Soil Temperature ◽

Gene Expression Programming ◽

Semiarid Region ◽

Artificial Neural

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Diagnostic Prediction Based on Gene Expression Profiles and Artificial Neural Networks

Soft Computing for Biological Systems ◽

10.1007/978-981-10-7455-4_2 ◽

2018 ◽

pp. 13-22

Author(s):

Eugene Lin ◽

Shih-Jen Tsai

Keyword(s):

Gene Expression ◽

Neural Networks ◽

Artificial Neural Networks ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Artificial Neural

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Comparison of artificial neural networks (ANN), support vector machine (SVM) and gene expression programming (GEP) approaches for predicting TBM penetration rate

SN Applied Sciences ◽

10.1007/s42452-020-03767-y ◽

2020 ◽

Vol 2 (12) ◽

Author(s):

Alireza Afradi ◽

Arash Ebrahimabadi

Keyword(s):

Gene Expression ◽

Neural Networks ◽

Support Vector Machine ◽

Artificial Neural Networks ◽

Penetration Rate ◽

Gene Expression Programming ◽

Support Vector ◽

Artificial Neural ◽

Tbm Penetration Rate

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Oil price forecasting using gene expression programming and artificial neural networks

Economic Modelling ◽

10.1016/j.econmod.2015.12.014 ◽

2016 ◽

Vol 54 ◽

pp. 40-53 ◽

Author(s):

Mohamed M. Mostafa ◽

Ahmed A. El-Masry

Keyword(s):

Gene Expression ◽

Neural Networks ◽

Artificial Neural Networks ◽

Gene Expression Programming ◽

Oil Price ◽

Price Forecasting ◽

Artificial Neural

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Human Age Estimation from Gene Expression Data using Artificial Neural Networks

10.1109/bibm52615.2021.9669893 ◽

2021 ◽

Author(s):

Salman Mohamadi ◽

Nasser M. Nasrabadi ◽

Gianfranco Doretto ◽

Donald A. Adjeroh

Keyword(s):

Gene Expression ◽

Neural Networks ◽

Artificial Neural Networks ◽

Gene Expression Data ◽

Age Estimation ◽

Expression Data ◽

Human Age Estimation ◽

Artificial Neural

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Microarray Gene Expression Classification for Cancer Detection using Artificial Neural Networks and Genetic Algorithm Hybrid Intelligence

2020 International Conference on Data Science and Its Applications (ICoDSA) ◽

10.1109/icodsa50139.2020.9213051 ◽

2020 ◽

Author(s):

Kusumastuti Cahyaningrum ◽

Adiwijaya ◽

Widi Astuti

Keyword(s):

Gene Expression ◽

Genetic Algorithm ◽

Neural Networks ◽

Artificial Neural Networks ◽

Cancer Detection ◽

Microarray Gene Expression ◽

Hybrid Intelligence ◽

Microarray Gene ◽

Artificial Neural ◽

Expression Classification

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Artificial neural networks versus gene expression programming for estimating reference evapotranspiration in arid climate

Agricultural Water Management ◽

10.1016/j.agwat.2015.09.009 ◽

2016 ◽

Vol 163 ◽

pp. 110-124 ◽

Author(s):

Mohamed A. Yassin ◽

A.A. Alazba ◽

Mohamed A. Mattar

Keyword(s):

Gene Expression ◽

Neural Networks ◽

Artificial Neural Networks ◽

Reference Evapotranspiration ◽

Gene Expression Programming ◽

Arid Climate ◽

Versus Gene ◽

Artificial Neural

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Study of tumor molecular diagnosis model based on artificial neural network with gene expression profile

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) ◽

10.1109/cec.2008.4630926 ◽

2008 ◽

Author(s):

Xiaogang Ruan ◽

Jinlian Wang ◽

Hui Li ◽

Xiaoming Li

Keyword(s):

Neural Network ◽

Gene Expression ◽

Artificial Neural Network ◽

Gene Expression Profile ◽

Molecular Diagnosis ◽

Expression Profile ◽

Model Based ◽

Diagnosis Model ◽

Artificial Neural

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