检索结果-内蒙古大学图书馆

16th international Symposium on Applied Reconfigurable computing, ARC 2020

ISBN: (纸本)9783030445331

the proceedings contain 29 papers. the special focus in this conference is on Applied Reconfigurable computing. the topics include: Accelerating a Classic 3D Video Game on Heterogeneous Reconfigurable MPSoCs;Cross-layer CNN Approximations for Hardware Implementation;technique for Vendor and Device Agnostic Hardware Area-Time Estimation;Resource Efficient Dynamic Voltage and Frequency Scaling on Xilinx FPGAs;RISC-V Based MPSoC Design Exploration for FPGAs: Area, Power and Performance;a Modular Software Library for Effective High Level Synthesis of Convolutional Neural Networks;HLS-Based Acceleration Framework for Deep Convolutional Neural Networks;FPGA-Based Computational Fluid Dynamics Simulation Architecture via High-Level Synthesis Design Method;high-Level Synthesis in Implementing and Benchmarking Number theoretic Transform in Lattice-Based Post-Quantum Cryptography Using Software/Hardware Codesign;judiciously Spreading Approximation Among Arithmetic Components with Top-Down Inexact Hardware Design;exploring fpga Optimizations to Compute Sparse Numerical Linear Algebra Kernels;A CGRA Definition Framework for Dataflow Applications;Implementing CNNs Using a Linear Array of Full Mesh CGRAs;A Block-Based Systolic Array on an HBM2 FPGA for dna Sequence Alignment;Comparison of Direct and Indirect Networks for High-Performance FPGA Clusters;A Parameterisable FPGA-Tailored Architecture for YOLOv3-Tiny;Hardware/Algorithm Co-optimization for Fully-Parallelized Compact Decision Tree Ensembles on FPGAs;stocNoC: Accelerating Stochastic Models through Reconfigurable Network on Chip Architectures;Implementation of FM-Index Based Pattern Search on a Multi-FPGA System;Reconfigurable Accelerator for On-Board SAR Imaging Using the Backprojection Algorithm;Optimising Operator Sets for Analytical Database Processing on FPGAs;automated Toolchain for Enhanced Productivity in Reconfigurable Multi-accelerator Systems;Chisel Usecase: Designing General Matrix Multiply for FPGA.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Integration Framework for Liver Cancer Subtype Classification and Survival Prediction Based on Multi-omics Data 16th

An Integration Framework for Liver Cancer Subtype Classifica...

引用

16th international conference on Intelligent computing, ICIC 2020

作者： Wang, Zhonglie Yan, Rui Liu, Jie Liu, Yudong Ren, Fei Zheng, Chunhou Zhang, Fa College of Computer Science and Technology Anhui University Hefei China High Performance Computer Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China Institutes of Physical Science and Information Technology Anhui University Hefei China

ISBN: (纸本)9783030607951

Accurate prediction is helpful to the treatment of liver cancer. In this paper, we propose a method based on a combination of deep learning and network fusion to predict the survival subtype of liver cancer, of which Univariate Cox-PH regression model was used twice. We integrated RNA sequencing, miRNA sequencing, dna methylation data and clinical data of liver cancer from TCGA to infer two survival subtypes. We then also constructed an XGBoost supervised classification model to predict the survival subtype of the new sample. Experimental results show that our model gives two subgroups with significant survival differences and Concordance index. We also use two additional confirmation cohorts downloaded from the GEO database to verify our multi-omics model. We found highly expressed stemness marker genes CD24, KRT19 and EPCAM and the tumor marker gene BIRC5 in two survival subgroups. Our method has great clinical significance for the prediction of HCC prognosis. © 2020, Springer Nature Switzerland AG.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

A New Method Combining dna Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites 16th

A New Method Combining DNA Shape Features to Improve the Pre...

引用

16th international conference on Intelligent computing, ICIC 2020

作者： Wang, Siguo Shen, Zhen He, Ying Zhang, Qinhu Yuan, Changan Qin, Xiao Wu, Hongjie Zhao, Xingming The Institute of Machine Learning and Systems Biology School of Electronics and Information Engineering Tongji University Shanghai201804 China Guangxi Academy of Science Nanning530025 China School of Computer and Information Engineering Nanning Normal University Nanning530299 China School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou215009 China Fudan University Shanghai200433 China

ISBN: (纸本)9783030608019

Identifying transcription factor (TF) binding sites (TFBSs) has play an important role in the computational inference of gene regulation. With the development of high-throughput technologies, there have been many conventional methods and deep learning models used in the identification of TFBSs. However, most methods are designed to predict TFBSs only based on raw dna sequence leads to low accuracy. therefore, we propose a Dual-channel Convolutional neural network (CNN) model combining dna sequences and dna Shape features to predict TFBSs, named DCDS. In the DCDS model, the convolution layer captures low-level features from input data and parallel pooling operations are used to find the most significant activation signal in a sequence for each filter to improve the prediction accuracy of TFBSs. We conduct a series of experiments on 66 in vitro datasets and experimental results show that proposed model DCDS is superior to some state-of-the-art methods. © 2020, Springer Nature Switzerland AG.

关键词： Binding sites

来源：评论

学校读者我要写书评

暂无评论

Enriched dna strands classification using CGR images and convolutional neural network 8

Enriched DNA strands classification using CGR images and con...

引用

8th international conference on Bioinformatics and Biomedical Science, ICBBS 2019

作者： Safoury, Sarah Hussein, Walid Software Engineering Department Faculty of Informatics and Computer Science British University in Egypt Egypt Computer Science Department Faculty of Informatics and Computer Science British University in Egypt Egypt

ISBN: (纸本)9781450372510

Bioinformatics is the biological study which applies programming techniques for more understanding and analysis of living objects such as the study of genome structure. the genome structure could be represented in the form of an image. Chaos Game Representation (CGR) is the practice of converting the dna sequence (i.e., genomes) into images, where each image is a graphical appearance for an individual dna strand's signature. CGR is a method of converting a long one-dimensional dna sequence into a graphical form. this method provides a visual image of a dna sequence different from the traditional manual linear arrangement of nucleotides polymerase chain reaction. In the recent years, CGR was introduced to automatically classify genomes not only by archival references but also through its' unique signature. In this paper, a novel CGR classification approach is developed combining the advances of image processing and pattern recognition approaches. the approach starts by declaring the genome and using the CGR technique to map it to the graphical interface (i.e., 16x16 signature images). then, an image processing procedure is prepared to handle complex geometric shapes, analyze structured and visualized genome sequences and fractal point the included nucleotides of these images. Finally, the convolutional neural network was designed and well-Trained by those signatures to classify each genome tested. © 2019 Association for computing Machinery.

关键词： Genome

来源：评论

学校读者我要写书评

暂无评论

23rd international conference on dna computing and molecular programming, dna 2017

23rd International Conference on DNA Computing and Molecular...

引用

23rd international conference on dna computing and molecular programming, dna 2017

ISBN: (纸本)9783319667980

the proceedings contain 16 papers. the special focus in this conference is on dna computing and molecular programming. the topics include: Automated, constraint-based analysis of tethered dna nanostructures;dna-templated synthesis optimization;ruleset optimization on isomorphic oritatami systems;unknotted strand routings of triangulated meshes;the design space of strand displacement cascades with toehold-size clamps;a stochastic molecular scheme for an artificial cell to infer its environment from partial observations;complexities for high-temperature two-handed tile self-assembly;a dna neural network constructed from molecular variable gain amplifiers;a stochastic approach to shortcut bridging in programmable matter;a minimal requirement for self-assembly of lines in polylogarithmic time;robust detection in leak-prone population protocols;inferring parameters for an elementary step model of dna structure kinetics with locally context-dependent arrhenius rates;simplifying analyses of chemical reaction networks for approximate majority;chemical boltzmann machines;a general-purpose CRN-to-DSD compiler with formal verification, optimization, and simulation capabilities and thermodynamic binding networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An improved molecular computation model of integer power using self-assembly of dna tiles 20

An improved molecular computation model of integer power usi...

引用

20th IEEE international conference on High Performance computing and Communications (HPCC) / 16th IEEE international conference on Smart City (SmartCity) / 4th IEEE international conference on Data Science and Systems (DSS)

作者： Li, Yongnan Peoples Publ Secur Univ China Sch Criminal Invest & Counter Terrorism Beijing 100038 Peoples R China

ISBN: (纸本)9781538666142

this paper proposes how to use self-assembly of dna tiles to calculate integer power over finite field GF(2n) with less assembly processing time. Two key functional components accomplish the computing process. One of them computes modular-multiplication and modularsquare in parallel, and the other one calculates modularsquare and transmits intermediate result. It achieves better performance than previous work for its optimized assembly rules. this tile assembly model requires 5316 types of computation tiles and 12 types of boundary tiles.

关键词： Binary finite field Tile assembly model dna computing Integer power

来源：评论

学校读者我要写书评

暂无评论

Automated analysis of tethered dna nanostructures using constraint solving

引用

NATURAL computing 2018年第4期17卷 709-722页

作者： Lakin, Matthew R. Phillips, Andrew Univ New Mexico Dept Comp Sci Ctr Biomed Engn Albuquerque NM 87131 USA Microsoft Res 21 Stn Rd Cambridge CB1 2FB England

Implementing dna computing circuits using components tethered to a surface offers several advantages over using components that freely diffuse in bulk solution. However, automated computational modeling of tethered circuits is far more challenging than for solution-phase circuits, because molecular geometry must be taken into account when deciding whether two tethered species may interact. Here, we tackle this issue by translating a tethered molecular circuit into a constraint problem that encodes the possible physical configurations of the components, using a simple biophysical model. We use a satisfaction modulo theories solver to determine whether the constraint problem associated with a given structure is satisfiable, which corresponds to whether that structure is physically realizable given the constraints imposed by the tether geometry. We apply this technique to example structures from the literature, and discuss how this approach could be integrated with a reaction enumerator to enable fully automated analysis of tethered molecular computing systems. this paper is a significantly revised and extended version of a conference publication: Lakin and Phillips (in Brijder and Qian (eds) Proceedings of the 23rd international conference on dna computing and molecular programming. Lecture Notes in Computer Science, vol 10467, pp 1-16, 2017).

关键词： molecular computing Tethered dna nanostructures molecular geometry dna strand displacement

来源：评论

学校读者我要写书评

暂无评论

A GPU-Based Bit-Parallel Multiple Pattern Matching Algorithm 20

A GPU-Based Bit-Parallel Multiple Pattern Matching Algorithm

引用

作者： Hung, Che-Lun Wang, Hsiao-Hsi Hsu, Tzu-Hung Lin, Chun-Yuan Providence Univ Dept Comp Sci & Commun Engn Taichung Taiwan Providence Univ Dept Comp Sci & Informat Management Taichung Taiwan Chang Gung Univ Dept Comp Sci & Informat Engn Taoyuan Taiwan

ISBN: (纸本)9781538666142

String matching algorithms have played critical role in many applications, such as dna sequence comparison, network intrusion detection systems, and so forth. In this paper, we present a parallel multiple pattern matching method based on general purpose graphic processing units to realize fast string searching. In proposed method, we adopt a bit-parallel pattern comparison concept to accelerates string search to achieve efficient parallel search of multiple patterns of different lengths. In addition, we use CUDA framework to enhance the performance of searching string by leveraging GPU computing power. From the experimental results, the proposed method can achieve higher search throughput than other string matching methods. the proposed method is useful for genome sequence comparison and packet payload filtering.

关键词： Multiple Pattern String Match Bit-Parallel Parallel computing GPU

来源：评论

学校读者我要写书评

暂无评论

Portable fluorescence reader for Point-of-Care molecular Diagnostic device

Portable fluorescence reader for Point-of-Care Molecular Dia...

引用

IEEE India conference (INDICON)

作者： Rajesh Srinivasan Kapil Singh Rawat Roopa Aswathappa Eugene Christo V. R. Sai Siva Gorthi Department of Instrumentation and Applied Physics Indian Institue of Science Bengaluru India

ISBN: (数字)9781728123271

ISBN: (纸本)9781728123288

Polymerase Chain Reaction (PCR) is routinely used as a diagnostic tool for detection of genetic material of pathogens to confirm whether an individual is infected or not. the readout for quantifying PCR amplicon is still a bottleneck for development of field deployable portable system to perform PCR tests in low-resource settings. Herein we present a portable fluorescence readout system for PCR amplicon readout with high accuracy and sensitivity that can detect as low as 18ng/μL of dsdna, a concentration 10 times lower than those usually encountered in PCR amplicons. It utilizes a Single Board Computer (SBC) with integrated wireless connectivity, that enables a user friendly and robust system. An optimized system implementation assures a low (

关键词： Fluorescence Optical filters dna Photodiodes Lenses Instruments Optical variables measurement

来源：评论

学校读者我要写书评

暂无评论

Functional Interpretation of Gene Sets: Semantic-Based Clustering of Gene Ontology Terms on the BioTest Platform 5th

Functional Interpretation of Gene Sets: Semantic-Based Clust...

引用

5th international conference on Man-Machine Interactions (ICMMI)

作者： Gruca, Aleksandra Jaksik, Roman Psiuk-Maksymowicz, Krzysztof Silesian Tech Univ Inst Informat Ul Akad 16 PL-44100 Gliwice Poland Silesian Tech Univ Inst Automat Control Ul Akad 16 PL-44100 Gliwice Poland

ISBN: (纸本)9783319677927;9783319677910

Modern high-throughput technologies based on genome, transcriptome or proteome profiling provide abundance of data that needs to be processed, analyzed and, finally, interpreted. Effective and efficient analysis of data coming from molecular profiling is crucial for a detailed diagnosis, prognosis, and prediction of therapy outcome. Meaningful conclusions can be drawn only by the use of sophisticated methods for biomedical and molecular data analysis and interpretation. In this study we present the approach for functional interpretation of gene or protein sets with clusters of Gene Ontology terms. We analyze transcription profiles of human cell line K562 and we show that clustering allows grouping functionally related GO terms and therefore obtaining more concise and comprehensive description. By applying cluster-specific data aggregation tool we are able to calculate statistics for the individual clusters of GO terms and compare the number of differentially expressed genes between two sample pairs. the presented tool is implemented as a part of annotation module available on the BioTest remote platform for hypothesis testing and analysis of biomedical data.

关键词： Gene Ontology Clustering Semantic similarity BioTest platform dna microarrays molecular profiling Functional interpretation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：