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Matteo Manica

Showing results (1-10 of 24) with videos related to

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Current Medicinal Chemistry|July 30, 2021
Trends in Deep Learning for Property-driven Drug DesignJannis Born, Matteo Manica
Scientific Reports|November 6, 2019
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in CancerAli Oskooei, Matteo Manica, Roland Mathis, et al.
NPJ Systems Biology and Applications|March 12, 2019
PIMKL: Pathway-Induced Multiple Kernel LearningMatteo Manica, Joris Cadow, Roland Mathis, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|October 7, 2024
Digital Fingerprinting of Complex Liquids Using a Reconfigurable Multi-Sensor System with Foundation ModelsGianmarco Gabrieli, Matteo Manica, Joris Cadow-Gossweiler, et al.
Journal of Chemical Information and Modeling|December 14, 2021
Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D ModelJannis Born, Tien Huynh, Astrid Stroobants, et al.
Nucleic Acids Research|May 14, 2020
PaccMann: a web service for interpretable anticancer compound sensitivity predictionJoris Cadow, Jannis Born, Matteo Manica, et al.
Bioinformatics (Oxford, England)|July 12, 2021
On the feasibility of deep learning applications using raw mass spectrometry dataJoris Cadow, Matteo Manica, Roland Mathis, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 9, 2019
FPGA Accelerated Analysis of Boolean Gene Regulatory NetworksMatteo Manica, Raphael Polig, Mitra Purandare, et al.
Iscience|April 14, 2021
PaccMann<sup>RL</sup>: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learningJannis Born, Matteo Manica, Ali Oskooei, et al.
Molecular Pharmaceutics|October 17, 2019
Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional EncodersMatteo Manica, Ali Oskooei, Jannis Born, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Current Medicinal Chemistry|July 30, 2021
Trends in Deep Learning for Property-driven Drug DesignJannis Born, Matteo Manica
Scientific Reports|November 6, 2019
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in CancerAli Oskooei, Matteo Manica, Roland Mathis, et al.
NPJ Systems Biology and Applications|March 12, 2019
PIMKL: Pathway-Induced Multiple Kernel LearningMatteo Manica, Joris Cadow, Roland Mathis, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|October 7, 2024
Digital Fingerprinting of Complex Liquids Using a Reconfigurable Multi-Sensor System with Foundation ModelsGianmarco Gabrieli, Matteo Manica, Joris Cadow-Gossweiler, et al.
Journal of Chemical Information and Modeling|December 14, 2021
Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D ModelJannis Born, Tien Huynh, Astrid Stroobants, et al.
Nucleic Acids Research|May 14, 2020
PaccMann: a web service for interpretable anticancer compound sensitivity predictionJoris Cadow, Jannis Born, Matteo Manica, et al.
Bioinformatics (Oxford, England)|July 12, 2021
On the feasibility of deep learning applications using raw mass spectrometry dataJoris Cadow, Matteo Manica, Roland Mathis, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 9, 2019
FPGA Accelerated Analysis of Boolean Gene Regulatory NetworksMatteo Manica, Raphael Polig, Mitra Purandare, et al.
Iscience|April 14, 2021
PaccMann<sup>RL</sup>: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learningJannis Born, Matteo Manica, Ali Oskooei, et al.
Molecular Pharmaceutics|October 17, 2019
Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional EncodersMatteo Manica, Ali Oskooei, Jannis Born, et al.
Pageof 3