Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks

Rna Binding ◽

Molecular Descriptors ◽

Artificial neural networks in tandem with molecular descriptors as predictive tools for continuous liposome manufacturing

International Journal of Pharmaceutics ◽

10.1016/j.ijpharm.2021.120713 ◽

2021 ◽

pp. 120713

Author(s):

Sameera Sansare ◽

Tibo Duran ◽

Hossein Mohammadiarani ◽

Manish Goyal ◽

Gowtham Yenduri ◽

...

Keyword(s):

Neural Networks ◽

Molecular Descriptors ◽

Predictive Tools ◽

Artificial Neural Networks Applied to Survival Prediction in Breast Cancer

Oncology ◽

10.1159/000012061 ◽

1999 ◽

Vol 57 (4) ◽

pp. 281-286 ◽

Cited By ~ 62

Author(s):

M. Lundin ◽

J. Lundin ◽

H.B. Burke ◽

S. Toikkanen ◽

L. Pylkkänen ◽

...

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Survival Prediction ◽

Improvement of breast cancer relapse prediction in high risk intervals using artificial neural networks

Breast Cancer Research and Treatment ◽

10.1007/s10549-005-9013-y ◽

2005 ◽

Vol 94 (3) ◽

pp. 265-272 ◽

Cited By ~ 38

Author(s):

J.M. Jerez ◽

L. Franco ◽

E. Alba ◽

A. Llombart-Cussac ◽

A. Lluch ◽

...

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

High Risk ◽

Cancer Relapse ◽

Relapse Prediction ◽

Breast Cancer Relapse ◽

Advances in Intelligent Systems and Computing - Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019 ◽

Artificial Neural Networks in Forecasting Cancer Therapy Methods and Costs of Cancer Patient Treatment. Case Study for Breast Cancer

10.1007/978-3-030-30443-0_10 ◽

2019 ◽

pp. 111-120

Author(s):

Zbigniew Leszczyński ◽

Tomasz Jasiński

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Cancer Therapy ◽

Cancer Patient ◽

Patient Treatment ◽

Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management ◽

Analysis of Molecular Prognostic Factors in Breast Cancer by Artificial Neural Networks

10.1201/9781420036381-2 ◽

2001 ◽

pp. 9-22

Author(s):

B. Angus ◽

T.W.J. Lennard ◽

R.N.G. Naguib ◽

G.V. Sherbet

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Prognostic Factors ◽

Comparative Breast Cancer Detection with Artificial Neural Networks and Machine Learning Methods

2021 29th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu53274.2021.9477991 ◽

2021 ◽

Author(s):

Muhammed Coskun Irmak ◽

Mehmet Bilge Han Tas ◽

Sedat Turan ◽

Abdulsamet Hasiloglu

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Neural Networks ◽

Cancer Detection ◽

Breast Cancer Detection ◽

Learning Methods ◽

Machine Learning Methods ◽

A Comparative Study Between Artificial Neural Networks and Conventional Classifiers for Predicting Diagnosis of Breast Cancer

Lecture Notes in Electrical Engineering - ICDSMLA 2019 ◽

10.1007/978-981-15-1420-3_28 ◽

2020 ◽

pp. 261-271

Author(s):

Gunjan Rawal ◽

Rakesh Rawal ◽

Hirav Shah ◽

Kamlesh Patel

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Comparative Study ◽

Breast Cancer Detection and Classification Using Artificial Neural Networks

2018 1st Annual International Conference on Information and Sciences (AiCIS) ◽

10.1109/aicis.2018.00022 ◽

2018 ◽

Cited By ~ 2

Author(s):

Yousif A. Hamad ◽

Konstantin Simonov ◽

Mohammad B. Naeem

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Cancer Detection ◽

Breast Cancer Detection ◽

The use of fast molecular descriptors and artificial neural networks approach in organochlorine compounds electron ionization mass spectra classification

Environmental Science and Pollution Research ◽

10.1007/s11356-019-05968-4 ◽

2019 ◽

Vol 26 (27) ◽

pp. 28188-28201

Author(s):

Maciej Przybyłek ◽

Waldemar Studziński ◽

Alicja Gackowska ◽

Jerzy Gaca

Keyword(s):

Neural Networks ◽

Mass Spectra ◽

Molecular Descriptors ◽

Electron Ionization ◽

Organochlorine Compounds ◽

Ionization Mass ◽

Electron Ionization Mass Spectra ◽

Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286) ◽

Logistic regression in the analysis of image cytometric data of fine-needle aspirated cells of breast cancer patients-a comparison with artificial neural networks

10.1109/iembs.1998.745613 ◽

2002 ◽

Author(s):

R.N.G. Naguib ◽

H.A. Mat-Sakim ◽

M.S. Lakshmi ◽

V. Wadehra ◽

T.W.J. Lennard ◽

...

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Logistic Regression ◽

Cancer Patients ◽

Breast Cancer Patients ◽

Fine Needle ◽