The Experts below are selected from a list of 11337 Experts worldwide ranked by ideXlab platform
Sanguk Kim - One of the best experts on this subject based on the ideXlab platform.
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oasis 2 Online Application for survival analysis 2 with features for the analysis of maximal lifespan and healthspan in aging research
Oncotarget, 2016Co-Authors: Seong Kyu Han, Jae-seong Yang, Seung-jae Lee, Dongyeop Lee, Heetak Lee, Donghyo Kim, Heehwa G Son, Sanguk KimAbstract:// Seong Kyu Han 1 , Dongyeop Lee 1 , Heetak Lee 1 , Donghyo Kim 1 , Heehwa G. Son 1 , Jae-Seong Yang 4 , Seung-Jae V. Lee 1,2,3 and Sanguk Kim 1,2,3 1 Department of Life Sciences, Pohang University of Science and Technology, Pohang, Korea 2 Department of IT Convergence and Engineering, Pohang University of Science and Technology, Pohang, Korea 3 School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, Korea 4 EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Barcelona, Spain Correspondence to: Seung-Jae V. Lee, email: // Sanguk Kim, email: // Keywords : web-service, statistics, survival, maximum lifespan, healthspan Received : April 28, 2016 Accepted : July 30, 2016 Published : August 12, 2016 Abstract Online Application for survival analysis (OASIS) has served as a popular and convenient platform for the statistical analysis of various survival data, particularly in the field of aging research. With the recent advances in the fields of aging research that deal with complex survival data, we noticed a need for updates to the current version of OASIS. Here, we report OASIS 2 ( http://sbi.postech.ac.kr/oasis2 ), which provides extended statistical tools for survival data and an enhanced user interface. In particular, OASIS 2 enables the statistical comparison of maximal lifespans, which is potentially useful for determining key factors that limit the lifespan of a population. Furthermore, OASIS 2 provides statistical and graphical tools that compare values in different conditions and times. That feature is useful for comparing age-associated changes in physiological activities, which can be used as indicators of “healthspan.” We believe that OASIS 2 will serve as a standard platform for survival analysis with advanced and user-friendly statistical tools for experimental biologists in the field of aging research.
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OASIS: Online Application for the survival analysis of lifespan assays performed in aging research.
PloS one, 2011Co-Authors: Jae-seong Yang, Hyun-jun Nam, Mihwa Seo, Seong Kyu Han, Yonghwan Choi, Hong Gil Nam, Seung-jae Lee, Sanguk KimAbstract:Background Aging is a fundamental biological process. Characterization of genetic and environmental factors that influence lifespan is a crucial step toward understanding the mechanisms of aging at the organism level. To capture the different effects of genetic and environmental factors on lifespan, appropriate statistical analyses are needed. Methodology/Principal Findings We developed an Online Application for survival analysis (OASIS) that helps conduct various novel statistical tasks involved in analyzing survival data in a user-friendly manner. OASIS provides standard survival analysis results including Kaplan-Meier estimates and mean/median survival time by taking censored survival data. OASIS also provides various statistical tests including comparison of mean survival time, overall survival curve, and survival rate at specific time point. To visualize survival data, OASIS generates survival and log cumulative hazard plots that enable researchers to easily interpret their experimental results. Furthermore, we provide statistical methods that can analyze variances among survival datasets. In addition, users can analyze proportional effects of risk factors on survival. Conclusions/Significance OASIS provides a platform that is essential to facilitate efficient statistical analyses of survival data in the field of aging research. Web Application and a detailed description of algorithms are accessible from http://sbi.postech.ac.kr/oasis.
François-xavier Coudert - One of the best experts on this subject based on the ideXlab platform.
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elate an open source Online Application for analysis and visualization of elastic tensors
arXiv: Materials Science, 2016Co-Authors: Romain Gaillac, Pluton Pullumbi, François-xavier CoudertAbstract:We report on the implementation of a tool for the analysis of second-order elastic stiffness tensors, provided with both an open-source Python module and a standalone Online Application providing visualization tools of anisotropic mechanical properties. After describing the software features, how we compute the conventional elastic constants and how we represent them graphically, we explain our technical choices for the implementation. In particular, we focus on why a Python module is used to generate the HTML web page with embedded Javascript for dynamical plots.
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ELATE: An open-source Online Application for analysis and visualization of elastic tensors
Journal of Physics Condensed Matter, 2016Co-Authors: Romain Gaillac, Pluton Pullumbi, François-xavier CoudertAbstract:© 2016 IOP Publishing Ltd. We report on the implementation of a tool for the analysis of second-order elastic stiffness tensors, provided with both an open-source Python module and a standalone Online Application allowing the visualization of anisotropic mechanical properties. After describing the software features, how we compute the conventional elastic constants and how we represent them graphically, we explain our technical choices for the implementation. In particular, we focus on why a Python module is used to generate the HTML web page with embedded Javascript for dynamical plots.
Romain Gaillac - One of the best experts on this subject based on the ideXlab platform.
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elate an open source Online Application for analysis and visualization of elastic tensors
arXiv: Materials Science, 2016Co-Authors: Romain Gaillac, Pluton Pullumbi, François-xavier CoudertAbstract:We report on the implementation of a tool for the analysis of second-order elastic stiffness tensors, provided with both an open-source Python module and a standalone Online Application providing visualization tools of anisotropic mechanical properties. After describing the software features, how we compute the conventional elastic constants and how we represent them graphically, we explain our technical choices for the implementation. In particular, we focus on why a Python module is used to generate the HTML web page with embedded Javascript for dynamical plots.
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ELATE: An open-source Online Application for analysis and visualization of elastic tensors
Journal of Physics Condensed Matter, 2016Co-Authors: Romain Gaillac, Pluton Pullumbi, François-xavier CoudertAbstract:© 2016 IOP Publishing Ltd. We report on the implementation of a tool for the analysis of second-order elastic stiffness tensors, provided with both an open-source Python module and a standalone Online Application allowing the visualization of anisotropic mechanical properties. After describing the software features, how we compute the conventional elastic constants and how we represent them graphically, we explain our technical choices for the implementation. In particular, we focus on why a Python module is used to generate the HTML web page with embedded Javascript for dynamical plots.
Jae-seong Yang - One of the best experts on this subject based on the ideXlab platform.
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oasis 2 Online Application for survival analysis 2 with features for the analysis of maximal lifespan and healthspan in aging research
Oncotarget, 2016Co-Authors: Seong Kyu Han, Jae-seong Yang, Seung-jae Lee, Dongyeop Lee, Heetak Lee, Donghyo Kim, Heehwa G Son, Sanguk KimAbstract:// Seong Kyu Han 1 , Dongyeop Lee 1 , Heetak Lee 1 , Donghyo Kim 1 , Heehwa G. Son 1 , Jae-Seong Yang 4 , Seung-Jae V. Lee 1,2,3 and Sanguk Kim 1,2,3 1 Department of Life Sciences, Pohang University of Science and Technology, Pohang, Korea 2 Department of IT Convergence and Engineering, Pohang University of Science and Technology, Pohang, Korea 3 School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, Korea 4 EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Barcelona, Spain Correspondence to: Seung-Jae V. Lee, email: // Sanguk Kim, email: // Keywords : web-service, statistics, survival, maximum lifespan, healthspan Received : April 28, 2016 Accepted : July 30, 2016 Published : August 12, 2016 Abstract Online Application for survival analysis (OASIS) has served as a popular and convenient platform for the statistical analysis of various survival data, particularly in the field of aging research. With the recent advances in the fields of aging research that deal with complex survival data, we noticed a need for updates to the current version of OASIS. Here, we report OASIS 2 ( http://sbi.postech.ac.kr/oasis2 ), which provides extended statistical tools for survival data and an enhanced user interface. In particular, OASIS 2 enables the statistical comparison of maximal lifespans, which is potentially useful for determining key factors that limit the lifespan of a population. Furthermore, OASIS 2 provides statistical and graphical tools that compare values in different conditions and times. That feature is useful for comparing age-associated changes in physiological activities, which can be used as indicators of “healthspan.” We believe that OASIS 2 will serve as a standard platform for survival analysis with advanced and user-friendly statistical tools for experimental biologists in the field of aging research.
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OASIS: Online Application for the survival analysis of lifespan assays performed in aging research.
PloS one, 2011Co-Authors: Jae-seong Yang, Hyun-jun Nam, Mihwa Seo, Seong Kyu Han, Yonghwan Choi, Hong Gil Nam, Seung-jae Lee, Sanguk KimAbstract:Background Aging is a fundamental biological process. Characterization of genetic and environmental factors that influence lifespan is a crucial step toward understanding the mechanisms of aging at the organism level. To capture the different effects of genetic and environmental factors on lifespan, appropriate statistical analyses are needed. Methodology/Principal Findings We developed an Online Application for survival analysis (OASIS) that helps conduct various novel statistical tasks involved in analyzing survival data in a user-friendly manner. OASIS provides standard survival analysis results including Kaplan-Meier estimates and mean/median survival time by taking censored survival data. OASIS also provides various statistical tests including comparison of mean survival time, overall survival curve, and survival rate at specific time point. To visualize survival data, OASIS generates survival and log cumulative hazard plots that enable researchers to easily interpret their experimental results. Furthermore, we provide statistical methods that can analyze variances among survival datasets. In addition, users can analyze proportional effects of risk factors on survival. Conclusions/Significance OASIS provides a platform that is essential to facilitate efficient statistical analyses of survival data in the field of aging research. Web Application and a detailed description of algorithms are accessible from http://sbi.postech.ac.kr/oasis.
Seong Kyu Han - One of the best experts on this subject based on the ideXlab platform.
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oasis 2 Online Application for survival analysis 2 with features for the analysis of maximal lifespan and healthspan in aging research
Oncotarget, 2016Co-Authors: Seong Kyu Han, Jae-seong Yang, Seung-jae Lee, Dongyeop Lee, Heetak Lee, Donghyo Kim, Heehwa G Son, Sanguk KimAbstract:// Seong Kyu Han 1 , Dongyeop Lee 1 , Heetak Lee 1 , Donghyo Kim 1 , Heehwa G. Son 1 , Jae-Seong Yang 4 , Seung-Jae V. Lee 1,2,3 and Sanguk Kim 1,2,3 1 Department of Life Sciences, Pohang University of Science and Technology, Pohang, Korea 2 Department of IT Convergence and Engineering, Pohang University of Science and Technology, Pohang, Korea 3 School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, Korea 4 EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Barcelona, Spain Correspondence to: Seung-Jae V. Lee, email: // Sanguk Kim, email: // Keywords : web-service, statistics, survival, maximum lifespan, healthspan Received : April 28, 2016 Accepted : July 30, 2016 Published : August 12, 2016 Abstract Online Application for survival analysis (OASIS) has served as a popular and convenient platform for the statistical analysis of various survival data, particularly in the field of aging research. With the recent advances in the fields of aging research that deal with complex survival data, we noticed a need for updates to the current version of OASIS. Here, we report OASIS 2 ( http://sbi.postech.ac.kr/oasis2 ), which provides extended statistical tools for survival data and an enhanced user interface. In particular, OASIS 2 enables the statistical comparison of maximal lifespans, which is potentially useful for determining key factors that limit the lifespan of a population. Furthermore, OASIS 2 provides statistical and graphical tools that compare values in different conditions and times. That feature is useful for comparing age-associated changes in physiological activities, which can be used as indicators of “healthspan.” We believe that OASIS 2 will serve as a standard platform for survival analysis with advanced and user-friendly statistical tools for experimental biologists in the field of aging research.
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OASIS: Online Application for the survival analysis of lifespan assays performed in aging research.
PloS one, 2011Co-Authors: Jae-seong Yang, Hyun-jun Nam, Mihwa Seo, Seong Kyu Han, Yonghwan Choi, Hong Gil Nam, Seung-jae Lee, Sanguk KimAbstract:Background Aging is a fundamental biological process. Characterization of genetic and environmental factors that influence lifespan is a crucial step toward understanding the mechanisms of aging at the organism level. To capture the different effects of genetic and environmental factors on lifespan, appropriate statistical analyses are needed. Methodology/Principal Findings We developed an Online Application for survival analysis (OASIS) that helps conduct various novel statistical tasks involved in analyzing survival data in a user-friendly manner. OASIS provides standard survival analysis results including Kaplan-Meier estimates and mean/median survival time by taking censored survival data. OASIS also provides various statistical tests including comparison of mean survival time, overall survival curve, and survival rate at specific time point. To visualize survival data, OASIS generates survival and log cumulative hazard plots that enable researchers to easily interpret their experimental results. Furthermore, we provide statistical methods that can analyze variances among survival datasets. In addition, users can analyze proportional effects of risk factors on survival. Conclusions/Significance OASIS provides a platform that is essential to facilitate efficient statistical analyses of survival data in the field of aging research. Web Application and a detailed description of algorithms are accessible from http://sbi.postech.ac.kr/oasis.
