Talks
POSTIT: Multi-task learning to infer transcript isoform regulation from epi-genomics and transcriptomics data
Azim Dehghani Amirabad, Marcel H. Schulz
Recomb-CCB 2018 Why asking for miRNA-gene interactions is wrong: A new paradigm for miRNA target prediction with expression data
Azim Dehghani Amirabad , Marcel H. Schulz
Presented at ISMB-SIG 2016 @ UAI 2016 Workshop on Machine Learning for Health
Multitask regression for context-specific prioritization of miRNA targets in transcripts
Azim Dehghani Amirabad , Marcel H. Schulz
Presented at German Conference for Biofinformatics 2016 and Recomb-CCB 2016 ( full text)
Posters
POSTIT: Multi-task learning to infer transcript isoform regulation from epi-genomics and transcriptomics data
Azim Dehghani Amirabad, Marcel H. Schulz
Recomb 2018 Inferring Gene Regulatory Programs with Mixtures of Sparse Multi-Task Regression Models
Tobias Heinen, Azim Dehghani Amirabad, Florian Schmidt, Marcel H. Schulz
Recomb 2018 Gene structure aware method for miRNA target prediction reveals two prevalent genome-wide mechanisms for miRNA action
Azim Dehghani Amirabad, Marcel H. Schulz
The Non-Coding Genome 2015, EMBL Heidelberg, Germany.
On the power of RNA-seq for predicting miRNA-transcript interactions
Azim Dehghani Amirabad, Marcel H. Schulz
ISMB/ECCB 2015, Dublin, Ireland.
Exploiting RNA-Seq data to the fullest: Models for miRNA-transcript target interactions
Azim Dehghani Amirabad, Marcel H. Schulz
ECCB, Strasbourg, France, 2014
