全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Tianyu Kang , Wei Ding , Luoyan Zhang ...
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (1)Springer
摘要:... In this paper, we develop a biological network-based regularized artificial neural network model for prediction of phenotype from transcriptomic measurements in clinical trials. To improve model sparsity and the overall reproducibility of the model, we incorporate regularizat...
作者:Olivier Sheik Amamuddy , Nigel T. Bishop , Özlem Tastan Bishop
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (1)Springer
摘要:... Artificial Neural Networks (ANNs) are a powerful tool that would be able to assist in drug resistance prediction. In this study, we constrained the dataset to subtype B, sacrificing generalizability for a higher predictive performance, and demonstrated that the predictive qua...
作者:Touba Davoudizadeh , S. Maryam Sajjadi , Leila Ma’mani
来源:[J].Journal of the Iranian Chemical Society(IF 1.467), 2018, Vol.15 (9), pp.1999-2006Springer
摘要:... Considering the fact that functional dependence between loading and release is not obvious, we proposed the combination of experimental design and powerful non-linear generalized artificial neural network (G-ANN) methods for the simultaneous optimization of these processes....
作者:Sara Baghalian , Masoud Ghodsian
来源:[J].Journal of the Brazilian Society of Mechanical Sciences and Engineering(IF 0.234), 2017, Vol.39 (11), pp.4503-4517Springer
摘要:... In this study, turbidity currents velocity profiles in channel with abrupt slope were investigated experimentally and numerically using artificial intelligence. Experiments were carried out and velocity profiles were measured in a rectangular channel. Then using obtained non-...
作者:Looket Dihge , Mattias Ohlsson , Patrik Edén ...
来源:[J].BMC Cancer(IF 3.333), 2019, Vol.19 (1), pp.1-12DOAJ
摘要:... We aimed to predict nodal status in clinically node-negative breast cancer and identify candidates for SLNB omission by including patient-related and pathological characteristics into artificial neural network (ANN) models. Methods Patients with primary breast cancer were c...
作者:Naibo Wang , Jinghua Chen , Hui Xiao ...
来源:[J].BMC Neurology(IF 2.564), 2019, Vol.19 (1), pp.1-8DOAJ
摘要:... The purpose of this study was to establish an early warning model using artificial neural network (ANN) for early diagnosis of AD and to explore early sensitive markers for AD. Methods A population based nested case-control study design was used. 89 new AD cases with good...
作者:Yinlong Zhao , Lingzhi Zhao , Tiezhu Mao ...
来源:[J].BMC Medical Genetics(IF 2.536), 2019, Vol.20 (1), pp.1-10DOAJ
摘要:Abstract Background This study aimed to establish an artificial neural network (ANN) model based on variant pathways to predict the risk of thyroid cancer. Methods The RNASeq data of 482 thyroid cancer samples were downloaded from the TCGA database. The samples were divided into ...
作者:Mojtaba Ebrahimi , Mohammad Najafi , Seyed Ali Jazayeri
来源:[J].Journal of the Brazilian Society of Mechanical Sciences and Engineering(IF 0.234), 2018, Vol.40 (9), pp.1-12Springer
摘要:Abstract(#br)The aim of this study is to apply the artificial neural network to identify the mathematical model of the combustion of a reactivity-controlled compression ignition (RCCI) engine fueled with natural gas and diesel oil. In this study, a single-cylinder heavy-duty ...
作者:Asiye Saidi , Mohammad Mirzaei
来源:[J].Journal of the Iranian Chemical Society(IF 1.467), 2014, Vol.11 (2), pp.391-398Springer
摘要:... The strategy used in this study, constituted by artificial neural network (ANN), was easy to implement and to originate reliable results. ANN can be successfully applied to spectrofluorimetric spectra matrices to simultaneous determination of total aflatoxins. Quantitative re...
作者:Lee Kien Leow , Li-Lee Chew , Ving Ching Chong ...
来源:[J].BMC Bioinformatics(IF 3.024), 2015, Vol.16 (S18)Springer
摘要:... An Artificial Neural Network (ANN) was used to classify the copepod specimens from species Acartia spinicauda, Bestiolina similis, Oithona aruensis, Oithona dissimilis, Oithona simplex, Parvocalanus crassirostris, Tortanus barbatus and Tortanus forcipatus based on the extract...

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