Filter by
Bioinformatics and Machine Learning for Cancer Biology
Cancer is a leading cause of death worldwide, claiming millions of lives each year. Cancer biology is an essential research field to understand how cancer develops, evolves, and responds to therapy. By taking advantage of a series of “omics” technologies (e.g., genomics, transcriptomics, and epigenomics), computational methods in bioinformatics and machine learning can help scientists and r…
- Edition
- -
- ISBN/ISSN
- 9783036548142
- Collation
- -
- Series Title
- -
- Call Number
- -
Biochemical Biomarkers and Neurodegenerative Diseases
Parkinson’s disease (PD) is a progressive neurodegenerative disorder, characterized by motor and non-motor symptoms due to the degeneration of the pars compacta of the substantia nigra (SNc) with dopaminergic denervation of the striatum. Although the diagnosis of PD is principally based on a clinical assessment, great efforts have been expended over the past two decades to evaluate reliab…
- Edition
- -
- ISBN/ISSN
- 9783036517223, 9783036517216
- Collation
- 156
- Series Title
- -
- Call Number
- -
Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mo…
In survival analysis, time-varying covariates are endogenous when their measurements are directly related to the event status and incomplete information occur at random points during the follow-up. Consequently, the time-dependent Cox model leads to biased estimates. Joint models (JM) allow to correctly estimate these associations combining a survival and longitudinal sub-models by means of a s…
- Edition
- -
- ISBN/ISSN
- 9788855184618
- Collation
- -
- Series Title
- -
- Call Number
- -
Computer Science, Information & General Works 
Philosophy & Psychology 
Religion 
Social Sciences 
Language 
Pure Science 
Applied Sciences 
Art & Recreation 
Literature 
History & Geography