Maximilian Sprang

11PUBLICATIONS

35CO-AUTHORS

Predictive and prognostic markersMicrobial geneticsGene expression (incl. microarray and other genome-wide approaches)Cellular nervous systemComputational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)

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Publications (11)

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|Jul 15, 2026

MiracleNet: A Biologically Interpretable Machine Learning Model for Resected Non-small-cell Lung Cancer.

|Apr 23, 2026

Target-site dynamics explain a large share of apparent microRNA differential expression.

|Jun 26, 2025

Evaluating Genetic Regulators of MicroRNAs Using Machine Learning Models.

Mert Cihan, Uchenna Alex Anyaegbunam, Steffen Albrecht

|Mar 04, 2025

Beyond the black box with biologically informed neural networks.

David A Selby, Maximilian Sprang, Jan Ewald

|Oct 24, 2024

Trainees' perspectives and recommendations for catalyzing the next generation of NeuroAI researchers.

Andrea I Luppi, Jascha Achterberg, Samuel Schmidgall

|Sep 24, 2024

Chem-CRISPR/dCas9FCPF: a platform for chemically induced epigenome editing.

Mukaddes Altinbay, Jianhui Wang, Jie Chen

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Frequent Collaborators

6 joint publications

Miguel A Andrade-Navarro

Jean-Fred Fontaine

Federico Marini

Jan Ewald

Claudia Paret

Nadine Lehmann

Joerg Faber

Alejandro Rubio

Andrés Garzón

Antonio Moreno-Rodriguez

Frequent Collaborators

6 joint publications

Miguel A Andrade-Navarro

3 joint publications

Jean-Fred Fontaine

2 joint publications

Federico Marini

2 joint publications

Jan Ewald