Modelling CAR T cell signalling using prior knowledge networks
- Alice Driessen
- Rocío Castellanos Rueda
- et al.
- 2022
- ISMB 2022
Publications
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23 results for Maria Rodriguez Martinez
On the automation of de-novo molecular design and chemical synthesis planning: A case study on SARS-CoV-2
- Jannis Born
- Matteo Manica
- et al.
- 2021
- ACS Fall 2021
On the Feasibility of Deep Learning Applications Using Raw Mass Spectrometry Data
- Maria Rodriguez Martinez
- Joris Cadow
- et al.
- 2021
- ISMB 2021
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks
- Anna Weber
- Jannis Born
- et al.
- 2021
- ISMB 2021
Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks
- Modestas Filipavicius
- Matteo Manica
- et al.
- 2020
- NeurIPS 2020
Inferring clonal composition from multiple tumor biopsies
- Matteo Manica
- Hyunjae Ryan Kim
- et al.
- 2020
- npj Systems Biology and Applications
PaccMannRL on SARS-CoV-2: Designing antiviral candidates with conditional generative models
- Jannis Born
- Matteo Manica
- et al.
- 2020
- ICML 2020
MonoNet: Towards Interpretable Models by Learning Monotonic Features
- An-Phi Nguyen
- Maria Rodriguez Martinez
- 2019
- NeurIPS 2019
PaccMannRL: Designing anticancer drugs from transcriptomic data via reinforcement learning
- Jannis Born
- Matteo Manica
- et al.
- 2019
- NeurIPS 2019
FPGA Accelerated Analysis of Boolean Gene Regulatory Networks
- 2019
- IEEE/ACM TCBB