2 papers
cs.LG2019
On Conditioning GANs to Hierarchical Ontologies
Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch
The recent success of Generative Adversarial Networks (GAN) is a result of their ability to generate high quality images from a latent vector space. An important application is the…
q-bio.GN2018
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data
Hamid Eghbal-zadeh, Lukas Fischer, Niko Popitsch +9
Diagnosis and risk stratification of cancer and many other diseases require the detection of genomic breakpoints as a prerequisite of calling copy number alterations (CNA). This, h…