Sentences with phrase «network analysis methods»

Not exact matches

«Using more recent data and better analysis methods we have been able to re-examine the global weather balloon network, known as radiosondes, and have found clear indications of warming in the upper troposphere,» said lead author ARC Centre of Excellence for Climate System Science Chief Investigator Prof Steve Sherwood.

In addition, using methods for the analysis of regulatory networks developed by the Califano lab in the Center for Computational Biology and Bioinformatics, Department of Systems Biology, the researchers identified a number of transcription factors (gene regulators) that have the potential to mimic the environmental signals that trigger papillae to induce new hair growth.

Using a method called social network analysis, she was able to measure how many connections each lemur had, with whom, and how strong those connections were.

Once trained, the networks were able to analyze new lenses almost instantaneously with a precision that was comparable to traditional analysis methods.

Bioinformatic approaches to the analysis of genetic variability and complex genotype - phenotype relationships will moreover include gene sequence and database analyses, measures of association of haplotypes / genotypes with phenotype, clustering procedures, neuronal networks, fuzzy and other techniques in pattern recognition, similarity measures for discrete patterns (e.g., gene sequences, structures, functions), logistic regression methods, and a spectrum of other techniques.

«Using the genome data analysis methods developed by co-author Steve Horvath at UCLA, we have uncovered crucial gene networks and we can now predict possible future genetic disorders at the eight - cell stage.»

«In this study, a new «source analysis» method was used for the first time to measure functional networks in the infant brain: with the help of a computer model, the measured EEG signals were interpreted as activity in the infant cortex, which enabled the evaluation of the functional networking of neurons in a very versatile manner on the cortical level,» says Sampsa Vanhatalo, a professor in clinical neurophysiology and the head of the study.

This is made possible by neural networks, which have developed into an established and sophisticated IT analysis method (see box, «How neural networks function»).

Lastly, disease network analysis offers a unique method for identifying therapeutic targets or combinations of targets that can alter disease expression.

The team has focused on the development of a KMS using social network analysis (SNA) to see how this combination might improve methods for organizing and sharing knowledge within a large government healthcare organization.

My research interests include computational methods for analyzing tumor heterogeneity, driver gene identification in cancer, and detecting bias in biological network analyses.

A new method of citation network analysis could be used to make the case for the importance of basic research.

Our BN analysis methods can be used to identify novel gene interactions and networks for advanced study of different biological networks and pathways.

We take a multidisciplinary approach to research that integrates theory and methods from cognitive neuroscience, machine learning, social network analysis, and social psychology.

Future work will entail: (1) further delineation of management actions and the social networks associated with them, (2) building and evaluating a working model using rapid prototype methods, (3) conducting futures analyses of associated landscapes, (4) continuing to foster collaborative effort, and (5) working one - on - one with managers to evaluate model and adaptive management applicability using such tools as LCMAP (Landscape Conservation Management and Analysis Portal).

Measures including psychological measures (depressive symptoms, perceived stress, vitality and mindfulness) and detailed methods for the blood draw, processing, biomarker assays and RNA sequencing of blood samples are described in the Supplementary Appendix, along with all statistical analyses carried out for group comparisons, construction of differential expression signatures, construction of coexpression networks, construction of Bayesian networks and pathway enrichment analysis.

It is using the full range of research methods, including genetic tools and computational analysis, to understand how each intermingled cell type functions in a neural network.

The pre-event session covers: competitive analysis, comparison with mobile social discovery networks, mobile dating financials, mobile marketing methods and business models (Please watch this Video to learn more).

The pre-event session covers: comparison with mobile social discovery networks, competitive analysis, mobile marketing methods, successful initiatives and mobile software selection (View Video for more information).

Getting the start - up exectives caught up with their peers, the expo pre-session discusses: trends, competitive analysis, business models, mobile marketing methods and comparison with mobile social discovery networks (Video Overview).

The pre-event session covers: comparison with mobile social discovery networks, mobile software selection, mobile payment options, mobile marketing methods and competitive analysis (See the Video).

Getting the start - up exectives caught up with their peers, the expo pre-session discusses: current industry issues, mobile marketing methods, competitive analysis, mobile dating apps and comparison with mobile social discovery networks (Please watch this Video to learn more).

To get you up to speed for the rest of the event, the pre-event session covers the following: trends, comparison with mobile social discovery networks, mobile software selection, competitive analysis and mobile marketing methods (Please watch this Video to learn more).

Getting the start - up exectives caught up with their peers, the convention pre-session discusses: current industry issues, competitive analysis, mobile marketing methods, comparison with mobile social discovery networks and business models (Video).

The pre-event session covers: comparison with mobile social discovery networks, competitive analysis, mobile marketing methods, mobile payment options and mobile software selection (Video Overview).

Getting the start - up exectives caught up with their peers, the expo pre-session discusses: mobile marketing methods, mobile dating financials, mobile software selection, comparison with mobile social discovery networks and competitive analysis (Please watch this Video to learn more).

To get you up to speed for the rest of the event, the pre-event session covers the following: current industry issues, comparison with mobile social discovery networks, mobile marketing methods, trends and competitive analysis (Please watch this Video to learn more).

Getting the start - up exectives caught up with their peers, the convention pre-session discusses: competitive analysis, business models, mobile payment options, comparison with mobile social discovery networks and mobile marketing methods (See the Video).

Getting the start - up exectives caught up with their peers, the event pre-session discusses: competitive analysis, trends, comparison with mobile social discovery networks, mobile software selection and mobile marketing methods (Video Overview).

To get you up to speed for the rest of the expo, the pre-event session covers the following: current industry issues, mobile marketing methods, competitive analysis, comparison with mobile social discovery networks and mobile software selection (Video).

The pre-event session covers: mobile dating financials, comparison with mobile social discovery networks, competitive analysis, mobile software selection and mobile marketing methods (See the Video).

The pre-event session covers: mobile marketing methods, successful initiatives, current industry issues, competitive analysis and comparison with mobile social discovery networks (Please watch this Video to learn more).

To get you up to speed for the rest of the convention, the pre-event session covers the following: competitive analysis, mobile demographics, comparison with mobile social discovery networks, mobile dating financials and mobile marketing methods (Video).

To get you up to speed for the rest of the conference, the pre-event session covers the following: mobile marketing methods, competitive analysis, mobile demographics, mobile dating apps and comparison with mobile social discovery networks (Video).

To get you up to speed for the rest of the trade show, the pre-event session covers the following: comparison with mobile social discovery networks, mobile marketing methods, competitive analysis, current industry issues and trends (Video).

Getting the start - up exectives caught up with their peers, the expo pre-session discusses: mobile marketing methods, mobile dating financials, mobile payment options, comparison with mobile social discovery networks and competitive analysis (Video Overview).

Based at the Harvard Graduate School of Education, SDP partners with school districts, charter networks, state agencies, and nonprofits to bring high - quality research methods and data analysis to bear on strategic management and policy decisions.

The Strategic Data Project partners with school districts, charter school networks, and state education agencies to bring high quality research methods and data analysis to bear on strategic management and policy decisions.

The Strategic Data Project (SDP), housed at the Center for Education Policy Research at Harvard University, partners with school districts, school networks, and state agencies to bring high - quality research methods and data analysis to bear on strategic management and policy decisions.

Part of the Center for Education Policy Research (CEPR) at Harvard University, SDP partners with school districts, charter school networks, state education agencies, and nonprofit organizations to bring high - quality research methods and data analysis to bear on strategic management and policy decisions.

Finnigan's research blends perspectives in education, sociology, and political science; employs qualitative and quantitative methods, including social network analysis and GIS mapping; and focuses on urban school districts.

Examples may include systems science approaches (e.g., computational modeling and simulation, network analysis, and engineering control methods) to conceptualize prevention at the micro - or macro-levels of analyses; alternative intervention designs for when randomization is not possible; new methods for optimization of interventions; adaptive interventions and SMART designs; and innovative analytic approaches including time varying effect models, and models for incorporating intensive longitudinal data and / or real time data capture in prevention science research.

The PSMG is a collaborative network of leading prevention science methodologists in the United States that has bi-weekly virtual presentations and discussions of emerging issues and methods, encompassing topics such as meditational analysis, longitudinal trajectory analytic techniques, system science developments in agent based modeling, system dynamics and social network analysis.

Fatimah Barker, chief external officer of the Achievement First network, said its new teachers had a five - week summer training, plus ongoing weekly practices of methods and student data analysis.

Helen primarily utilizes quantitative method and social network analysis to study educational technology leadership in the digital age.

electric power plants are: (1) survey and assess the capacity, cost, and location of potential depleted gas and oil wells that are suitable CO -LCB- sub 2 -RCB- repositories (with the cooperation of the oil and gas industry); (2) conduct research on the feasibility of ocean disposal, with objectives of determining the cost, residence time, and environmental effects for different methods of CO -LCB- sub 2 -RCB- injection; (3) perform an in - depth survey of knowledge concerning the feasibility of using deep, confined aquifers for disposal and, if feasible, identify potential disposal locations (with the cooperation of the oil and gas industry); (4) evaluate, on a common basis, system and design alternatives for integration of CO -LCB- sub 2 -RCB- capture systems with emerging and advanced technologies for power generation; and prepare a conceptual design, an analysis of barrier issues, and a preliminary cost estimate for pipeline networks necessary to transport a significant portion of the CO -LCB- sub 2 -RCB- to potentially feasible disposal locations.

The research needs that have high priority in establishing the technical, environmental, and economic feasibility of large - scale capture and disposal of CO -LCB- sub 2 -RCB- from electric power plants are: (1) survey and assess the capacity, cost, and location of potential depleted gas and oil wells that are suitable CO -LCB- sub 2 -RCB- repositories (with the cooperation of the oil and gas industry); (2) conduct research on the feasibility of ocean disposal, with objectives of determining the cost, residence time, and environmental effects for different methods of CO -LCB- sub 2 -RCB- injection; (3) perform an in - depth survey of knowledge concerning the feasibility of using deep, confined aquifers for disposal and, if feasible, identify potential disposal locations (with the cooperation of the oil and gas industry); (4) evaluate, on a common basis, more» system and design alternatives for integration of CO -LCB- sub 2 -RCB- capture systems with emerging and advanced technologies for power generation; and prepare a conceptual design, an analysis of barrier issues, and a preliminary cost estimate for pipeline networks necessary to transport a significant portion of the CO -LCB- sub 2 -RCB- to potentially feasible disposal locations.

A good discussion and example using Pacific equatorial SSTs and using PCs to characterize ENSO can be found in Hsieh, W. W. (2004), Nonlinear multivariate and time series analysis by neural network methods, Rev. Geophys., 42, RG1003, doi: 10.1029 / 2002RG000112.

Ensuing detail appears to draw heavily, without attribution, from the Wasserman and Faust classic, Social Network Analysis: Methods and Applications (1994, Cambridge University Press).

Steve Sherwood, chief investigator for the ARC Centre of Excellence for Climate System Science and lead author for the study, explained that he and his colleague Nidhi Nishant used improved methods of analysis and more recent data to reexamine radiosondes, or the global weather balloon network.