POSTER SESSION A-08: Methods for High Dimensional Data (including -omics)
Tracks
POSTER AREA (M1 building upper floor)
| Monday, July 22, 2024 |
| 9:00 AM - 5:00 PM |
| POSTER AREA (M1 building upper floor) |
Presentations
Ms. Beryl Ang'iro
Assistant Lecturer
Karatina University, Kenya
P-A08-01 | Multivariate survival analysis for high dimensional data: A sample splitting approach
Mr. Niklas Brunn
University of Freiburg, Germany
P-A08-02 | Infusing structural assumptions into dimension reduction for single-cell RNA sequencing data to identify small gene sets
Dr. Svetlana Cherlin
Newcastle University, United Kingdom
P-A08-03 | Utilising high-dimensional data in randomised clinical trials
Dr. Paolo Dalena
Health Researcher, Phd Student
IRCCS Burlo Garofolo, University of Trieste, Italy
P-A08-04 | Prioritisation of differential methylation regions for the prediction of Coeliac disease: A Machine Learning approach
Dr. Arianna Galotta
IRCCS Centro Cardiologico Monzino, Milan, Italy
P-A08-05 | Statistical methodologies for Olink data analysis: Different approaches for reliable evaluation of Omics Data
Dr. Franziska Kappenberg
TU Dortmund University, Germany
P-A08-06 | How to benefit from high-dimensional gene expression data for dose-response modelling
Ms. Elisa Merelli
University of Milano - Bicocca, Italy
P-A08-07 | Spatial proteomics analysis for discriminating autoimmune liver diseases: Insights from MALDI-TOF mass spectrometry imaging
Ms. Shivani Saxena
PhD Scholar
Institute of Advanced Research, Ahmedabad, India
P-A08-08 | Clustering high-dimensional spaces using a modified EM algorithm with fractional order assignment
Ms. Eva Brombacher
University of Freiburg Medical Center, Germany
P-A08-09 LB | Characterising the omics landscape based on 10,000+ datasets
