Explore the words cloud of the CONTESSA project. It provides you a very rough idea of what is the project "CONTESSA" about.
The following table provides information about the project.
THE UNIVERSITY OF SHEFFIELD
|Coordinator Country||United Kingdom [UK]|
|Total cost||195˙454 €|
|EC max contribution||195˙454 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2015-08-01 to 2017-07-31|
Take a look of project's partnership.
|1||THE UNIVERSITY OF SHEFFIELD||UK (SHEFFIELD)||coordinator||195˙454.00|
The aim of this project is to develop methods for analysis of time-series based on count data. For example, detecting significant differences between two count data time series would distinguish between two different models: one in which the two time series are interchangeable, and one in which the second sample is a modification of the first, i.e. the two time series are non-interchangeable. This will broaden the target of my project to general analysis of count time-series data such as clustering, classification, perturbations inference and machine learning over sequential count data. The project will focus on count data sets from ribonucleic acid sequencing (RNA-seq) time course experiments. The method I plan to develop potentially has promising applications in a variety of multidisciplinary fields where event-counting is required, such as economics and biology. In economics, examples include the number of applicants for a job, or the number of labour strikes during a year. In biology, recent examples include high-throughput sequencing, such as RNA-seq and chromatin immunoprecipitation sequencing (ChIP-seq) analyses. These examples are especially relevant to this project because the method I will be developing enables various features of organisms to be compared through tag counts.
I am enthusiastic about having the opportunity to be instrumental to a field where once developed this project will have a real impact in finding better treatments for patients with neurodegenerative diseases including amyotrophic lateral sclerosis (ALS), Alzheimer’s and Parkinson’s Disease. Professor Neil Lawrence will act as the supervisor of the fellowship and will take over responsibility for my training and development. My fellowship experience will be enriched further through a six month secondment period at University of Manchester with Professor Magnus Rattray and through the opportunity to collaborate with SITraN’s Professor Winston Hide and Biogen Idec Industry.
|year||authors and title||journal||last update|
A. Carissimo,L. Cutillo, I. Defeis
Validation of community robustness
published pages: , ISSN: , DOI:
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CONTESSA" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (firstname.lastname@example.org) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "CONTESSA" are provided by the European Opendata Portal: CORDIS opendata.
Narrative, Writing, and the Teotihuacan Language: Exploring Language History Through Phylogenetics, Epigraphy and IconographyRead More
Positive and Negative Asymmetry in Intergroup Contact: Its Impact on Linguistic Forms of Communication and Physiological ResponsesRead More
Multi-color and single-molecule fluorescence imaging of intraflagellar transport in the phasmid chemosensory cilia of C. ElegansRead More