| PaccMannRL: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning J Born, M Manica, A Oskooei, J Cadow, G Markert, MR Martínez Iscience 24 (4), 2021 | 79* | 2021 |
| PaccMann: a web service for interpretable anticancer compound sensitivity prediction J Cadow, J Born, M Manica, A Oskooei, M Rodríguez Martínez Nucleic acids research 48 (W1), W502-W508, 2020 | 39 | 2020 |
| Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2 J Born, M Manica, J Cadow, G Markert, NA Mill, M Filipavicius, ... Machine Learning: Science and Technology 2 (2), 025024, 2021 | 37* | 2021 |
| PIMKL: pathway-induced multiple kernel learning M Manica, J Cadow, R Mathis, M Rodríguez Martínez NPJ systems biology and applications 5 (1), 8, 2019 | 32 | 2019 |
| Pre-training protein language models with label-agnostic binding pairs enhances performance in downstream tasks M Filipavicius, M Manica, J Cadow, MR Martinez arXiv preprint arXiv:2012.03084, 2020 | 17 | 2020 |
| On the feasibility of deep learning applications using raw mass spectrometry data J Cadow, M Manica, R Mathis, RR Reddel, PJ Robinson, PJ Wild, ... Bioinformatics 37 (Supplement_1), i245-i253, 2021 | 11 | 2021 |
| Context-specific interaction networks from vector representation of words M Manica, R Mathis, J Cadow, M Rodríguez Martínez Nature Machine Intelligence 1 (4), 181-190, 2019 | 10 | 2019 |
| Gt4sd: Generative toolkit for scientific discovery M Manica, J Cadow, D Christofidellis, A Dave, J Born, D Clarke, ... arXiv e-prints, arXiv: 2207.03928, 2022 | 9 | 2022 |
| COSIFER: a Python package for the consensus inference of molecular interaction networks M Manica, C Bunne, R Mathis, J Cadow, ME Ahsen, GA Stolovitzky, ... Bioinformatics 37 (14), 2070-2072, 2021 | 8 | 2021 |
| PaccMannRL: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning. iScience, 24 (4): 102269 J Born, M Manica, A Oskooei, J Cadow, G Markert, MR Martínez ISSN, 2021 | 5 | 2021 |
| PaccMann (RL): De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning. iScience 2021, 24, 102269 J Born, M Manica, A Oskooei, J Cadow, G Markert, M Rodríguez Martínez DOI, 0 | 5 | |
| Accelerating material design with the generative toolkit for scientific discovery M Manica, J Born, J Cadow, D Christofidellis, A Dave, D Clarke, ... npj Computational Materials 9 (1), 69, 2023 | 3 | 2023 |
| Protein-targeted drug compound identification M Manica, MR Martinez, J Born, J Cadow US Patent App. 17/004,104, 2020 | 3 | 2020 |
| HyperTaste Lab—A Notebook with a Machine Learning Pipeline for Chemical Sensor Arrays G Gabrieli, M Muszynski, M Manica, J Cadow-Gossweiler, PW Ruch Proceedings 97 (1), 67, 2024 | | 2024 |
| A new era of collaborative experimentation enabled by multi-cloud and AI foundation models P Ruch, A Vaucher, A Thakkar, A Giovannini, A Foncubierta, ... Future Labs Live, 2023 | | 2023 |
| On the feasibility of deep learning applications using raw mass spectrometry data (vol 37, pg i245, 2021) J Cadow, M Manica, R Mathis, RR Reddel, PJ Robinson, PJ Wild, ... BIOINFORMATICS 39 (3), 2023 | | 2023 |
| Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD) M Manica, J Cadow, D Christofidellis, A Dave, J Born, D Clarke, ... American Chemical Society (ACS) Fall Meeting, 2022 | | 2022 |
| On the automation of de-novo molecular design and chemical synthesis planning: A case study on SARS-CoV-2 J Born, M Manica, J Cadow, G Markert, NA Mill, M Filipavicius, ... American Chemical Society (ACS) Fall Meeting, 2021 | | 2021 |
| On the Feasibility of Deep Learning Applications Using Raw Mass Spectrometry Data MR Martinez, J Cadow, M Manica, R Mathis, T Guo, R Aebersold Conference on Intelligent Systems for Molecular Biology, 2021 | | 2021 |
| Idempotence-constrained neural network AF Rodriguez, M Manica, J Cadow US Patent App. 16/748,871, 2021 | | 2021 |
