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1Self-supervised machine learning methods for protein design improve sampling, but not the identification of high-fitness variants
M. Ertelt, R. Moretti, J. Meiler, and C. Schoeder. Science Advances, 11 (7): eadr7338 (June 2025)
10 months ago by @scadsfct
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1Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins
M. Ertelt, V. Mulligan, J. Maguire, S. Lyskov, R. Moretti, T. Schiffner, J. Meiler, and C. Schoeder. PLOS Computational Biology, 20 (3): e1011939 (March 2024)
10 months ago by @scadsfct
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2Targeting adhesion G protein-coupled receptors. Current status and future perspectives
F. Liessmann, L. von Bredow, J. Meiler, and r. Liebscher, Ines. Structure, (November 2024)
9 months ago by @scadsfct
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2Genomic events stratifying prognosis of early gastric cancer
C. Molinari, L. Solaini, F. Rebuzzi, G. Tedaldi, D. Angeli, E. Petracci, D. Prascevic, J. Ewald, E. Rahm, M. Canale and 1 other author(s). Gastric Cancer, (2024)
9 months ago by @scadsfct
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1Parallel Discrete Convolutions on Adaptive Particle Representations of Images
J. Jonsson, B. Cheeseman, S. Maddu, K. Gonciarz, and I. Sbalzarini. IEEE Transactions on Image Processing, (Jan 1, 2022)Publisher Copyright: © 1992-2012 IEEE..
9 months ago by @scadsfct
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1Netrank: network-based approach for biomarker discovery
A. Al-Fatlawi, E. Rusadze, A. Shmelkin, N. Malekian, C. Ozen, C. Pilarsky, and M. Schroeder. BMC bioinformatics, (Jul 29, 2023)Publisher Copyright: © 2023, The Author(s)..
9 months ago by @scadsfct
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1Is Protein BLAST a thing of the past?
A. Al-Fatlawi, M. Menzel, and M. Schroeder. Nature communications, (Dec 11, 2023)
9 months ago by @scadsfct
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1The Rad52 SSAP superfamily and new insight into homologous recombination
A. Al-Fatlawi, M. Schroeder, and A. Stewart. Communications biology, (Jan 23, 2023)Funding Information: We gratefully acknowledge support from ZIH of TU Dresden and the BMBF Project scads.ai..
9 months ago by @scadsfct
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1A numerical solver for active hydrodynamics in three dimensions and its application to active turbulence
A. Singh, {. Suhrcke, P. Incardona, and {. Sbalzarini. Physics of fluids, (Oct 1, 2023)Publisher Copyright: © 2023 Author(s)..
9 months ago by @scadsfct
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1Stability selection enables robust learning of differential equations from limited noisy data
S. Maddu, {. Cheeseman, {. Sbalzarini, and {. Müller. Proceedings of the Royal Society of London : Series A, Mathematical, physical and engineering sciences, (June 2022)Publisher Copyright: © 2022 Royal Society Publishing. All rights reserved..
9 months ago by @scadsfct
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1Learning deterministic hydrodynamic equations from stochastic active particle dynamics
S. Maddu, Q. Vagne, and {. Sbalzarini. WorkingPaper, (Jan 21, 2022)
9 months ago by @scadsfct
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1STENCIL-NET for equation-free forecasting from data
S. Maddu, D. Sturm, {. Cheeseman, {. Müller, and {. Sbalzarini. Scientific reports, (December 2023)Publisher Copyright: © 2023, Springer Nature Limited..
9 months ago by @scadsfct
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1Efficient Raycasting of View-Dependent Piecewise Constant Representations of Volumetric Data
A. Gupta, U. Günther, P. Incardona, G. Reina, S. Frey, S. Gumhold, and {. Sbalzarini. WorkingPaper, (Jun 17, 2022)
9 months ago by @scadsfct
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2Towards Transparency and Knowledge Exchange in AI-assisted Data Analysis Code Generation
R. Haase. Nature Computational Science, (October 2024)
9 months ago by @scadsfct
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1Neuromorphic hardware for sustainable AI data centers
B. Vogginger, A. Rostami, V. Jain, S. Arfa, A. Hantsch, D. Kappel, M. Schäfer, U. Faltings, H. Gonzalez, C. Liu and 1 other author(s). (2024)
9 months ago by @scadsfct
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1Utilizing transformers on OCT imagery and metadata for treatment response prediction in macular edema patients
S. Vahdati, D. Nagaraj, M. Bryan, S. Moazemi, S. Gründer-Fahrer, and M. Martin. Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, (2023)
8 months ago by @scadsfct
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2A generalized and versatile framework to train and evaluate autoencoders for biological representation learning and beyond: AUTOENCODIX
M. Joas, N. Jurenaite, D. Prascevic, N. Scherf, and J. Ewald. (December 2024)
7 months ago by @scadsfct
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2Zero-Shot, Big-Shot, Active-Shot - How to estimate cell confluence, lazily
M. Joas, D. Freund, R. Haase, E. Rahm, and J. Ewald. bioRxiv, (2025)
6 months ago by @scadsfct
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2Computational Engineering of siderocalin to modulate its binding affinity to the antihypertension drug candesartan
K. Vogel, J. Moeller, N. Bozhanova, M. Voehler, A. Penk, J. Meiler, and C. Schoeder. Journal of Structural Biology, 217 (1): 108180 (2025)
6 months ago by @scadsfct
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1Automated Configuration of Schema Matching Tools: A Reinforcement Learning Approach
M. Miazga, D. Abitz, M. Täschner, and E. Rahm. Datenbanksysteme für Business, Technologie und Web (BTW 2025), Gesellschaft für Informatik, Bonn, (2025)
6 months ago by @scadsfct
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1Self-supervised machine learning methods for protein design improve sampling, but not the identification of high-fitness variants

1Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins

2Targeting adhesion G protein-coupled receptors. Current status and future perspectives

2Genomic events stratifying prognosis of early gastric cancer

1Parallel Discrete Convolutions on Adaptive Particle Representations of Images

1Netrank: network-based approach for biomarker discovery

1Is Protein BLAST a thing of the past?

1The Rad52 SSAP superfamily and new insight into homologous recombination

1A numerical solver for active hydrodynamics in three dimensions and its application to active turbulence

1Stability selection enables robust learning of differential equations from limited noisy data

1Learning deterministic hydrodynamic equations from stochastic active particle dynamics

1STENCIL-NET for equation-free forecasting from data

1Efficient Raycasting of View-Dependent Piecewise Constant Representations of Volumetric Data

2Towards Transparency and Knowledge Exchange in AI-assisted Data Analysis Code Generation

1Neuromorphic hardware for sustainable AI data centers

1Utilizing transformers on OCT imagery and metadata for treatment response prediction in macular edema patients

2A generalized and versatile framework to train and evaluate autoencoders for biological representation learning and beyond: AUTOENCODIX

2Zero-Shot, Big-Shot, Active-Shot - How to estimate cell confluence, lazily

2Computational Engineering of siderocalin to modulate its binding affinity to the antihypertension drug candesartan

1Automated Configuration of Schema Matching Tools: A Reinforcement Learning Approach

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