Understanding the phenotypic drug response on cancer cell lines plays a vital role in anti-cancer discovery and re-purposing. The Genomics of Drug Sensitivity Cancer (GDSC) database provides open data for researchers screening to build test their models. Previously, most research these areas starts from molecular fingerprints or physiochemical features drugs, instead structures.In this paper, model called twin Convolutional Neural Network drugs SMILES format (tCNNS) is introduced screening....

This paper addresses a multi-scale finite element method for second order linear elliptic equations with rough coefficients, which is based on the compactness of solution operator, and does not depend any scale-separation or periodicity assumption coefficient. We consider special type basis functions, basis, are harmonic each show that they have optimal approximation property fixed local boundary conditions. To build conditions, we introduce set interpolation reduce our problem to...

USD/RMB exchange rate plays a significant role in China's financial market. Effective forecasting of the can help people analyze economic situation and avoid risks. This paper puts forward hybrid model CNN-STLSTM-AM to forecast closing price rate. Convolution neural network (CNN) extracts local characters input data. Special tanh long short-term memory (STLSTM), an improved proposed paper, forecasts through characters. Attention mechanism (AM) distributes feature weight based on impact...

Abstract Objectives The objective of this study is to develop a deep learning (DL) model for fast and accurate mandibular canal (MC) segmentation on cone beam computed tomography (CBCT). Methods A total 220 CBCT scans from dentate subjects needing oral surgery were used in study. ground truth annotated reviewed by two senior dentists. All patients randomly splitted into training dataset (n = 132), validation 44) test 44). We proposed two-stage 3D-UNet based framework automated MC CBCT. Dice...

Clustering molecular network is a typical method in system biology, which effective predicting protein complexes or functional modules. However, few studies have realized that biological molecules are spatial-temporally regulated to form dynamic cellular and only subset of interactions take place at the same location cells.In this study, considering subcellular localization proteins, we first construct co-localization human interaction (PIN) systematically investigate relationship between...

-Three-way email spam filtering reduces the chance of misclassification by dividing incoming emails into three folders, i.e., a folder consisting that we believe are spam, legitimate (inbox) legitimate, and suspicious cannot make sure decisions based on available information. Game-theoretic rough sets (GTRS) recent proposed model for determining three-way classifications from tradeoff perspective when multiple criteria involved. This paper applies GTRS in to obtain suitable which represents...

Drug discovery is an expensive and time consuming process, especially in the era of new technology, such as personalized medicine where tremendous experiments analysis are needed before bringing drugs to market. While In vivo vitro expensive, silico methods become important they can reduce cost drug by prioritizing more efficient ways. this paper, we propose a convolution neural network based active learning model which helps number discovery. Using performance on other cell lines assisting...

The precise prediction of molecular properties is essential for advancements in drug development, particularly virtual screening and compound optimization. recent introduction numerous deep learning-based methods has shown remarkable potential enhancing property (MPP), especially improving accuracy insights into structures. Yet, two critical questions arise: does the integration domain knowledge augment employing multi-modal data fusion yield more results than unique source methods? To...

Objective To explore the changes of maxillary buccal bone before RME,after RME and post retention using CBCT 3-dimensional imaging.Methods Eight male Bama mini-pigs at 10 months age were randomly divided into two groups:Five pigs in experimental group 3 control group.Before (T1),after (T2),3 after (T3),all scanned to analyze thickness height (BBT,△BMBL).Results BMBL,BBT representing alveolar had significant T2 compared with (P ＜ 0.05).BMBL BBT no change between T3 (P＞0.05).Significant...

Understanding the phenotypic drug response on cancer cell lines plays a vital rule in anti-cancer discovery and re-purposing. The Genomics of Drug Sensitivity Cancer (GDSC) database provides open data for researchers screening to test their models methods. Previously, most research these areas starts from fingerprints or features drugs, instead structures. In this paper, we introduce model screening, which is called twin Convolutional Neural Network drugs SMILES format (tCNNS). tCNNS...