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