Computational Approaches to Transcriptome Signatures in the Human Brain
This record is part of
a dataset collected by the EU Commission in June-September 2018
. Some of these links will therefore die out with time.
Please see the
overview of courses maintained by ETPLAS
or contact Norecopa for more information.
Owner/Developer: Agilent Technologies
United States of America
18 February 2016
United States of America
|Description:||The Allen Institute for Brain Science has used large scale Agilent microarray profiling and computational approaches to understanding canonical signatures of gene transcription in the adult human brain. The data set produced by the authors is the largest of its kind, using custom Agilent microarrays with >62,000 probes to measure gene expression levels in >3,700 meticulously macrodissected or lasermicrodissected samples from six adult human brains|
Optional / Voluntary
Students, Researchers, Regulators and policy-makers, Teachers and educators, Technicians, Managers, Scientific officers / Project managers, Professionals (e.g. veterinarians), General public
Academia, Industry, Governmental bodies, Contract Research Organizations (CROs), Consulting, SMEs
Continuing Professional Development
Full coverage (a dedicated course)
|Details on the topic or technology covered:||
This extent of neuroanatomical coverage is unprecedented and provides the neuroscientific community with a resource that has many further possibilities for data mining and analysis. To make sense of this data, we introduce the concept of differential stability (DS), a correlation-based metric that quantifies the extent to which a gene shows reproducible expression patterns across neuroanatomical structures in different individuals . These high-DS genes have a number of interesting properties, including significant enrichment with neuronal functions, disease associations and drug targets. In this presentation we survey the Allen Human Brain Atlas platform, its capabilities and results.
Did you find what you were looking for?Yes, I found it! No, I did not!
Thanks for your feedback! Please note that we cannot respond unless you supply your email address.
What are you looking for?
Please give us your feedback so we can improve the information on the page. Thank you in advance for your help. Please add your email address if you would like a reply.Please contact us by email if you have any questions.