Prediction of human cytochrome P450 inhibition using bio‐selectivity induced deep neural network

2021 ◽  
Author(s):  
Hyejin Park ◽  
Rahul Brahma ◽  
Jae‐Min Shin ◽  
Kwang‐Hwi Cho
Keyword(s):  
Neural Network ◽  
Cytochrome P450 ◽  
Deep Neural Network ◽  
Human Cytochrome

Prediction of Human Cytochrome P450 Inhibition Using a Multitask Deep Autoencoder Neural Network

2018 ◽  
Vol 15 (10) ◽  
pp. 4336-4345 ◽  
Author(s):  
Xiang Li ◽  
Youjun Xu ◽  
Luhua Lai ◽  
Jianfeng Pei
Keyword(s):  
Neural Network ◽  
Cytochrome P450 ◽  
Human Cytochrome

Comparison of mechanism-based inhibition of human cytochrome P450 2C19 by ticlopidine, clopidogrel, and prasugrel

Xenobiotica ◽  
2009 ◽  
Vol 00 (00) ◽  
pp. 090901052457079-8
Author(s):  
Y. Nishiya ◽  
K. Hagihara ◽  
A. Kurihara ◽  
N. Okudaira ◽  
N.A. Farid ◽  
...  
Keyword(s):  
Cytochrome P450 ◽  
Human Cytochrome ◽  
Cytochrome P450 2C19

Deep Neural Network Classification of I-123 Ioflupane SPECT

2020 ◽  
Author(s):  
David T. Wang ◽  
Brady Williamson ◽  
Thomas Eluvathingal ◽  
Bruce Mahoney ◽  
Jennifer Scheler
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Neural Network Classification

Method of determination of the text direction on the image with the use of convolutional neural network

2020 ◽  
pp. 96-99
Author(s):  
P.L. Nikolaev
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Deep Neural Network ◽  
Binary Classification ◽  
Synthetic Data ◽  
Real Data ◽  
Method Of Determination ◽  
Classification Of Images

This article deals with method of binary classification of images with small text on them Classification is based on the fact that the text can have 2 directions – it can be positioned horizontally and read from left to right or it can be turned 180 degrees so the image must be rotated to read the sign. This type of text can be found on the covers of a variety of books, so in case of recognizing the covers, it is necessary first to determine the direction of the text before we will directly recognize it. The article suggests the development of a deep neural network for determination of the text position in the context of book covers recognizing. The results of training and testing of a convolutional neural network on synthetic data as well as the examples of the network functioning on the real data are presented.

Underwater Fish Images Classification by Deep Neural Network

2020 ◽  
Author(s):  
Ala Supriya ◽  
Chiluka Venkat ◽  
Aliketti Deepak ◽  
GV Hari Prasad
Keyword(s):  
Neural Network ◽  
Deep Neural Network
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