PSLS22 Practical Statistics for the Life Sciences
This intermediate level course is one of our Foundations courses. It covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences. The course positions applied statistics, starting from important aspects of experimental design and data...
PSLS22 Practical Statistics for the Life Sciences
https://gtpb.github.io/PSLS22/
http://tess.elixir-uk.org/materials/psls22-practical-statistics-for-the-life-sciences
This intermediate level course is one of our Foundations courses. It covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences. The course positions applied statistics, starting from important aspects of experimental design and data exploration. We then move into statistical modeling and data analysis. We will focus on the link between linear regression and analysis of variance. Together, these methods contribute to the study of General Linear Models. The course also introduces the basics of non-parametric testing, and addresses categorical data analysis and logistic regression.
Lieven Clement
Milan Malfait
Jeroen Gilis
Graduate students
All postgraduates
PSLS20 - Practical Statistics for the Life Sciences (2020)
Training material that covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences.
Keywords: Statistics, General Linear Models
Resource type: Documentation, Exercise, Handout, Scripts
PSLS20 - Practical Statistics for the Life Sciences (2020)
https://gtpb.github.io/PSLS20
http://tess.elixir-uk.org/materials/psls20-practical-statistics-for-the-life-sciences-2020
Training material that covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences.
The Gulbenkian Training Programme in Bioinformatics
Lieven Clement
Jeroen Gilis
Statistics, General Linear Models
Academia/ Research Institution
Industry
Healthcare
Non-Profit Organisation
Visualization Approaches for Biomedical Omics Data: Putting It All Together
Dr Nils Gehlenborg gives his keynote at 1st BiVi in 2014. The rapid proliferation of high quality, low cost genome-wide measurement technologies such as whole-genome and transcriptome sequencing, as well as advances in epigenomics and proteomics, are enabling researchers to perform studies that...
Keywords: Genome, Molecular
Resource type: Video
Visualization Approaches for Biomedical Omics Data: Putting It All Together
https://bivi.co/presentation/visualization-approaches-biomedical-omics-data-putting-it-all-together
http://tess.elixir-uk.org/materials/visualization-approaches-for-biomedical-omics-data-putting-it-all-together
Dr Nils Gehlenborg gives his keynote at 1st BiVi in 2014. The rapid proliferation of high quality, low cost genome-wide measurement technologies such as whole-genome and transcriptome sequencing, as well as advances in epigenomics and proteomics, are enabling researchers to perform studies that generate heterogeneous datasets for cohorts of thousands of individuals. A common feature of these studies is that a collection of genome-wide, molecular data types and phenotypic or clinical characterizations are available for each individual. These data can be used to identify the molecular basis of diseases and to characterize and describe the variations that are relevant for improved diagnosis, prognosis and targeted treatment of patients. An example for a study in which this approach has been successfully applied is The Cancer Genome Atlas project (http://cancergenome.nih.gov).In this talk Dr Gehlenborg discusses how visualization approaches can be applied to enable exploration and support analysis of data generated by such studies. Specifically, he reviews techniques and tools for visual exploration of individual omics data types, their ability to scale to large numbers of individuals or samples, and emerging techniques that integrate multiple omics data types for interactive visual analysis. He also examines technical and legal challenges that developers of such visualization tools are facing. To conclude the talk, he outlines research opportunities for the biological data visualization community that address major challenges in this domain.
Created at: 1st BiVi Annual Meeting.
Dr. Nils Gehlenborg
Genome, Molecular
2017-02-02
