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IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology

召开年：2018
召开地：St. Louis(US)
出版时间：-

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1.High-performance and distributed computing in a probabilistic finite element comparison study of the human lower leg model with total knee replacement

机译：高性能和分布式计算在全膝关节置换人类小腿模型的概率有限元比较研究中
- 作者：Corneliu Arsene
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Probabilistic logic;
- Input variables;
- Computational modeling;
- Sensitivity;
- Mathematical model;
- Kinematics;
- Load modeling;
2.Drug target interaction predictions using PU- Leaming under different experimental setting for four formulations namely known drug target pair prediction, drug prediction, target prediction and unknown drug target pair prediction

机译：使用PU-Leaming在不同实验设置下针对四种制剂的药物靶相互作用预测，即已知药物靶对预测，药物预测，靶预测和未知药物靶对预测
- 作者：Hetal Rahul Rajpura;Alioune Ngom
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Drugs;
- Proteins;
- Amino acids;
- Receptor (biochemistry);
- Support vector machines;
- Ions;
3.Chemical structure recognition and prediction: A machine learning technique

机译：化学结构识别和预测：一种机器学习技术
- 作者：Fakheredine Keyrouz;Lara Tauk;Elias Feghali
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Chemicals;
- Bayes methods;
- Handwriting recognition;
- Feature extraction;
- Support vector machines;
- Principal component analysis;
- Machine learning;
4.EEG emotion detection review

机译：脑电图情绪检测评论
- 作者：Lars Rune Christensen;Mohamed Ahmed Abdullah
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Feature extraction;
- Support vector machines;
- Electroencephalography;
- Discrete wavelet transforms;
- Wavelet analysis;
- Videos;
5.A deep learning pipeline to classify different stages of Alzheimer's disease from fMRI data

机译：从fMRI数据对阿尔茨海默氏病不同阶段进行分类的深度学习管道
- 作者：Yosra Kazemi;Sheridan Houghten
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Dementia;
- Functional magnetic resonance imaging;
- Feature extraction;
- Machine learning;
- Timing;
- Smoothing methods;
6.CCA based multi-view feature selection for multi-omics data integration

机译：基于CCA的多视图特征选择，用于多组学数据集成
- 作者：Yasser El-Manzalawy
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Feature extraction;
- Radio frequency;
- Data models;
- Correlation;
- Machine learning algorithms;
- Data integration;
- Bioinformatics;
7.Improving medical search tasks using learning to rank

机译：使用学习排名改善医学搜索任务
- 作者：Mohammad Alsulmi;Ben Carterette
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Feature extraction;
- Task analysis;
- Computational modeling;
- Biological system modeling;
- Medical services;
- Training;
- Medical diagnostic imaging;
8.Analysis of grapevine gene expression data using node-based resilience clustering

机译：基于节点的弹性聚类分析葡萄基因表达数据
- 作者：Jeffrey Dale;John Matta;Susanne Howard;Gunes Ercal;Wenping Qiu;Tayo Obafemi-Ajayi
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Pipelines;
- Resilience;
- Diseases;
- Gene expression;
- Immune system;
- Correlation;
- Computer science;
9.Ensemble validation paradigm for intelligent data analysis in autism spectrum disorders

机译：整合验证范式，用于自闭症谱系障碍的智能数据分析
- 作者：Thy Nguyen;Kerri Nowell;Kimberly E. Bodner;Tayo Obafemi-Ajayi
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Measurement;
- Variable speed drives;
- Clustering algorithms;
- Autism;
- Clustering methods;
- Indexes;
- Data analysis;
10.Data driven point packing for fast clustering

机译：数据驱动点打包以实现快速聚类
- 作者：Matthew Stoodley;Daniel Ashlock;Steffen Graether
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Amino acids;
- Clustering algorithms;
- RNA;
- DNA;
- Measurement;
- Bioinformatics;
- Hypercubes;
11.Edit metric decoding: Return of the side effect machines

机译：编辑指标解码：副作用机器的返回
- 作者：Sheridan Houghten;Tyler K. Collins;James Alexander Hughes;Joseph Alexander Brown
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Decoding;
- Genetic algorithms;
- Biological information theory;
- Measurement;
- Programming;
- Electronic mail;
- Hamming distance;
12.Analysis of symbolic models of biometrie data and their use for action and user identification

机译：生物特征数据符号模型的分析及其在行动和用户识别中的用途
- 作者：James Alexander Hughes;Joseph Alexander Brown;Adii Mehmood Khan;Asad Masood Khattak;Mark Daley
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Task analysis;
- Data models;
- Mathematical model;
- Analytical models;
- Smart phones;
- Performance evaluation;
- Gait recognition;
13.On the generalizability of linear and non-linear region of interest-based multivariate regression models for fMRI data

机译：基于线性和非线性兴趣区域的fMRI数据多元回归模型的可推广性
- 作者：Ethan C. Jackson;James Alexander Hughes;Mark Daley
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
14.Hierarchical clustering and tree stability

机译：层次聚类与树稳定性
- 作者：Amanda Saunders;Daniel Ashlock;Sheridan Houghten
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Clustering algorithms;
- Evolutionary computation;
- Sociology;
- Statistics;
- Indexes;
- Standards;
- Measurement;
15.Parameter selection for modeling of epidemic networks

机译：流行网络建模的参数选择
- 作者：Michael Dube;Sheridan Houghten;Daniel Ashlock
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Evolutionary computation;
- Diseases;
- Computational modeling;
- Computer science;
- Sociology;
- Statistics;
- Aerospace electronics;
16.Computational analysis of Plasmodium falciparum RNA-Seq data reveals PPIs that might be implicated in the invasion of the RBCs

机译：恶性疟原虫RNA-Seq数据的计算分析表明，PPI可能与红细胞的入侵有关
- 作者：Jumoke Soyemi;Itunuolwa Isewon;Olubanke Ogunlana;Rotimi Solomon;Jelili Oyelade;Ezekiel Adebiyi
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Proteins;
- Gene expression;
- RNA;
- Ontologies;
- Pins;
- Drugs;
17.Pavlov principle and brain reverse engineering

机译：巴甫洛夫原理与大脑逆向工程
- 作者：Witali Dunin-Barkowski;Ksenia Solovyeva
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Neurons;
- Synapses;
- Biological neural networks;
- Machine learning;
- Training;
- Learning systems;
18.RNA secondary structure graphical rendering library

机译：RNA二级结构图形绘制文库
- 作者：Keith A. Monschke;Abdullah N. Arslan
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- RNA;
- Libraries;
- Tools;
- Browsers;
- Visualization;
- Security;
- Two dimensional displays;
19.An efficient feature selection technique for gene expression data

机译：基因表达数据的有效特征选择技术
- 作者：B Chandra
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Feature extraction;
- Classification algorithms;
- Gene expression;
- Redundancy;
- Filtering theory;
- Filtering algorithms;
- Clustering algorithms;
20.Tandem mass intensity estimation for de novo peptide sequencing

机译：从头肽测序的串联质谱强度估计
- 作者：Hatem Loukil
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Peptides;
- Ions;
- Amino acids;
- Sequential analysis;
- Databases;
- Distribution functions;
21.Cross-validation and cross-study validation of kidney cancer with machine learning and whole exome sequences from the National Cancer Institute

机译：来自国家癌症研究所的机器学习和整个外显子组序列对肾脏癌的交叉验证和交叉研究验证
- 作者：Abdulrhman Aljouie;Nihir Patel;Usman Roshan
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Cancer;
- Kidney;
- Support vector machines;
- Bioinformatics;
- Genomics;
- Correlation;
- Machine learning;
22.Application of ensemble learning to the differential gene expression in left-right breast tumors

机译：集成学习在左右乳腺肿瘤差异基因表达中的应用
- 作者：Casey A. Cole;Kenneth L. Nesbitt;Homayoun Valafar
- 会议名称：《IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology》 | 2018年
- Gene expression;
- Breast cancer;
- Reliability;
- Breast tumors;
- Genomics;