Application of data mining using artificial neural network: survey

M Arif, KA Alam, M Hussain - International Journal of Database Theory …, 2015 - earticle.net
The use of neural network is very wide in data mining due to some characteristic like parallel
performance, Self-organizing adaptive, robustness and fault tolerance. Data mining models …

[HTML][HTML] Biomarker identification in breast cancer: beta-adrenergic receptor signaling and pathways to therapeutic response

LE Kafetzopoulou, DJ Boocock, GKR Dhondalay… - Computational and …, 2013 - Elsevier
Recent preclinical studies have associated beta-adrenergic receptor (β-AR) signaling with
breast cancer pathways such as progression and metastasis. These findings have been …

Artificial neural networks to identify naturally existing disease severity status

KP Waidyarathne, S Samarasinghe - Neural Computing and Applications, 2014 - Springer
Classification is a central endeavour in Biology. Heterogeneity of biological systems makes
classification more challenging, but this is crucial for effective disease control and …

Breast Cancer Prognosis Using Stacking Ensemble

A Agarwal - 2020 - search.proquest.com
This research implements an ensemble-based classification model, stacking, for breast
cancer (BC) survival prediction. Improved BC prognosis can result in informed and …

[PDF][PDF] Research Journal of Pharmaceutical, Biological and Chemical Sciences

M Deepika, LM Gladence, RM Keerthana - researchgate.net
ABSTRACT A bidentate Schiff base Salicylidene-sulphamethoxazole synthesized from
sulphamethoxazole and salicyladehyde, form stable complexes with organyltellurium (IV) …

[图书][B] Systems biology of breast cancer

GKR Dhondalay - 2013 - search.proquest.com
Breast cancer, with an alarming incidence rate throughout the globe, has attracted
significant investigations to identify disease specific biomarkers. Among these, oestrogen …