Kernel Generative Topographic Mapping of Protein Sequences

2012 ◽  
pp. 195-208
Author(s):  
M.I. Cardenas ◽  
A. Vellido ◽  
I. Olier ◽  
X. Rovira ◽  
J. Giraldo
Keyword(s):  
Data Analysis ◽  
Kernel Method ◽  
Protein Sequences ◽  
Topographic Mapping ◽  
Complex Data ◽  
Generative Topographic Mapping ◽  
Protein Amino Acid ◽  
Genomics And Proteomics ◽  
The World ◽  
Symbolic Sequences

The world of pharmacology is becoming increasingly dependent on the advances in the fields of genomics and proteomics. The –omics sciences bring about the challenge of how to deal with the large amounts of complex data they generate from an intelligence data analysis perspective. In this chapter, the authors focus on the analysis of a specific type of proteins, the G protein-couple receptors, which are the target for over 15% of current drugs. They describe a kernel method of the manifold learning family for the analysis of protein amino acid symbolic sequences. This method sheds light on the structure of protein subfamilies, while providing an intuitive visualization of such structure.

Kernel Generative Topographic Mapping of Protein Sequences

2013 ◽  
pp. 817-830
Author(s):  
Martha-Ivón Cárdenas ◽  
Alfredo Vellido ◽  
Iván Olier ◽  
Xavier Rovira ◽  
Jesús Giraldo
Keyword(s):  
Kernel Method ◽  
Topographic Mapping ◽  
Complex Data ◽  
Intelligent Data Analysis ◽  
Generative Topographic Mapping ◽  
Protein Amino Acid ◽  
Genomics And Proteomics ◽  
The World ◽  
Symbolic Sequences ◽  
G Protein Coupled

The world of pharmacology is becoming increasingly dependent on the advances in the fields of genomics and proteomics. The –omics sciences bring about the challenge of how to deal with the large amounts of complex data they generate from an intelligent data analysis perspective. In this chapter, the authors focus on the analysis of a specific type of proteins, the G protein-coupled receptors, which are the target for over 15% of current drugs. They describe a kernel method of the manifold learning family for the analysis of protein amino acid symbolic sequences. This method sheds light on the structure of protein subfamilies, while providing an intuitive visualization of such structure.

Symbolic Data Analysis

2014 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Sandra Elizabeth González Císaro ◽  
Héctor Oscar Nigro
Keyword(s):  
Data Analysis ◽  
Complex Data ◽  
New Paradigm ◽  
Symbolic Data Analysis ◽  
Standard Data ◽  
Symbolic Data ◽  
The World ◽  
New Type ◽  
Mining Complex ◽  
Internal Variation

Standard data mining techniques no longer adequately represent the complexity of the world. So, a new paradigm is necessary. Symbolic Data Analysis is a new type of data analysis that allows us to represent the complexity of reality, maintaining the internal variation and structure developed by Diday (2003). This new paradigm is based on the concept of symbolic object, which is a mathematical model of a concept. In this article the authors are going to present the fundamentals of the symbolic data analysis paradigm and the symbolic object concept. Theoretical aspects and examples allow the authors to understand the SDA paradigm as a tool for mining complex data.

Medical Diagnosis from a Clinician’s Point of View

1978 ◽  
Vol 17 (01) ◽  
pp. 28-35
Author(s):  
F. T. De Dombal
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Computer Science ◽  
Medical Diagnosis ◽  
Information Science ◽  
Point Of View ◽  
Joint Research ◽  
The World

This paper discusses medical diagnosis from the clinicians point of view. The aim of the paper is to identify areas where computer science and information science may be of help to the practising clinician. Collection of data, analysis, and decision-making are discussed in turn. Finally, some specific recommendations are made for further joint research on the basis of experience around the world to date.

Model of artificial neural network for complex data analysis in slag glass-ceramic

2004 ◽  
Vol 95 (2) ◽  
pp. 97-101 ◽  
Author(s):  
Hongyuan Sun ◽  
Qiye Wen ◽  
Peixin Zhang ◽  
Jianhong Liu ◽  
Qianling Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Data Analysis ◽  
Glass Ceramic ◽  
Complex Data ◽  
Slag Glass ◽  
Artificial Neural

scholarly journals A Comprehensive Survey on Local Differential Privacy

2020 ◽  
Vol 2020 ◽  
pp. 1-29 ◽  
Author(s):  
Xingxing Xiong ◽  
Shubo Liu ◽  
Dan Li ◽  
Zhaohui Cai ◽  
Xiaoguang Niu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Statistical Learning ◽  
Data Privacy ◽  
Statistical Estimation ◽  
Differential Privacy ◽  
Future Research ◽  
Reference Source ◽  
Complex Data ◽  
Comprehensive Survey

With the advent of the era of big data, privacy issues have been becoming a hot topic in public. Local differential privacy (LDP) is a state-of-the-art privacy preservation technique that allows to perform big data analysis (e.g., statistical estimation, statistical learning, and data mining) while guaranteeing each individual participant’s privacy. In this paper, we present a comprehensive survey of LDP. We first give an overview on the fundamental knowledge of LDP and its frameworks. We then introduce the mainstream privatization mechanisms and methods in detail from the perspective of frequency oracle and give insights into recent studied on private basic statistical estimation (e.g., frequency estimation and mean estimation) and complex statistical estimation (e.g., multivariate distribution estimation and private estimation over complex data) under LDP. Furthermore, we present current research circumstances on LDP including the private statistical learning/inferencing, private statistical data analysis, privacy amplification techniques for LDP, and some application fields under LDP. Finally, we identify future research directions and open challenges for LDP. This survey can serve as a good reference source for the research of LDP to deal with various privacy-related scenarios to be encountered in practice.

Twitter users exhibited coping behaviours during the COVID-19 lockdown: an analysis of tweets using mixed methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal
Keyword(s):  
Data Analysis ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Twitter Data ◽  
Long Run ◽  
The World ◽  
Twitter Users ◽  
The Government ◽  
Using Data

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.

ANALISIS LOYALITAS PELANGGAN HOTEL SYARIAH DI DAERAH ISTIMEWA YOGYAKARTA

2019 ◽  
Vol 13 (03) ◽  
pp. 15-30
Author(s):  
Dwi Agus Kristianto ◽  
Amin Kiswantoro
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Data Collection ◽  
Service Quality ◽  
Customer Loyalty ◽  
Brand Image ◽  
Tourist Destinations ◽  
The Past ◽  
The World ◽  
Special Region

In the past the function of the hotel was only as a place to stay for consumers who travel on business or tourism and do not have a relationship or family at their destination. Sharia concept hotels continue to grow along with the needs of Muslim consumers around the world. The concept of sharia hotels also continues to grow in Indonesia, especially in the Yogyakarta region as one of the tourist destinations in Indonesia. This study aims to determine the effect of price, service quality and brand image on customer loyalty of sharia hotels in Yogyakarta Special Region both partially and simultaneously.This type of research is causally comparative. The variables in this study are price, service quality, brand image and customer loyalty. The population in this study are customers who have visited sharia hotels in Yogyakarta. Sampling was done by nonrandom sampling, specifically using purposive sampling where the sample was taken from the population, with the following criteria: 1) Customers who had stayed in sharia hotels in Yogyakarta more than twice, and 2) Respondents aged 18 years. The sample in this study was taken as many as 100 respondents. Data collection techniques using questionnaires. Data analysis used is multiple linear regression analysis.Based on the results of the study, the following conclusions are obtained: (1) Prices have a positive and significant effect on customer loyalty; (2) Service quality has a positive and significant effect on customer loyalty; (3) Brand image has a positive and significant effect on customer loyalty; and (4) Price, service quality, and brand image have a positive and significant effect on customer loyalty. Keywords: hotel, sharia, price, service quality, brand image, customer loyalty.

scholarly journals PEMBENTUKAN GERAK TARI DILA PANGETO KARYA INDRA JAYA DI KABUPATEN SUMBAWA BARAT NUSA TENGGARA BARAT

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
A Azizah ◽  
Matheus Wasi Bantolo
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Qualitative Data ◽  
Motion Pattern ◽  
Data Types ◽  
Dance Movements ◽  
The World ◽  
Library Studies ◽  
Line Design ◽  
Descriptive Method

AbstractDila Pangeto Dance is a work created by Indra Jaya in 2016. This research will emphasize the choreography which includes Indra Jaya as the creator, the idea of creation about the world and education, the process of creation that there is exploration, improvisation, and composition, as well as the formation of dance motion Dila Pangeto. To discuss the above problems using the foundation of Theory: Choreography using Seymour theory, the form of servings using the theory of Suzanne K. Langer, and formation of motion using the theory of Doris Humphrey. This dance research uses a descriptive method of analytic with qualitative data types through the data collection stage i.e. observation, interviews, library studies, as well as data analysis stage. The results of the study were the choreography Dila Pangeto which discusses the creators, ideas of creation, and the process of creation and the form of dance in which there is a serving structure divided into five parts, and the dance elements of Dila Pangeto include two female dancers, a parallel floor pattern, and zigzag, the stage space that has been provided by the organizing committee, dressing and clothing using West Sumbawa costumes, Dila and shawl properties, West Sumbawa Music and the addition of violin instruments, as well as Motion derived from the motion of West Sumbawa Dance and Gentao or Pencak Silat. The formation of Dila Pangeto Dance uses the motion of West Sumbawa Dance and Gentao. The formation of the dance movements of Dila Pangeto in the movement patterns such as Ngengke ‘, Palangan Telas, Nyempung, Bagerik, plump besai ‘, Bolang sweep ‘, Juluk Betak, Pio Ngibar, remove Pengkenang, Betak Jala, Sempanang, Telnyak ninting, Pusuk nyer, puntal yarn, Nesek , ninting Seleng, ente Dila, swivel dila, Jonyong, Basalunte ‘, Tanak, Ngijik, and Bajempit contains more designs using a unidirectional line design, the dynamics of gentle motion, functional rhythm or rhythm, mechanisms, and emotional The motivation of the life of West Sumbawa. Characters and character in each motion pattern the Dila Pangeto dance has a gentle, polite, and graceful character.Keywords: Dila Pangeto dance, Indra Jaya, choreography, and formation Motion.

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