MOMA Therapeutics hiring Computational Scientist in Cambridge, Massachusetts, United States | LinkedIn
Frontiers | Dynamic Solution Space Division-Based Methods for Calculating Reaction Deletion Strategies for Constraint-Based Metabolic Networks for Substance Production: DynCubeProd
Example of a complex structural re-arrangement. Structural... | Download Scientific Diagram
History of MOMA
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Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples | Nature Communications
Flowchart of the method as implemented in MOMA. a Example of structure... | Download Scientific Diagram
What can you do with MoMa dataset ? - Online Technical Discussion Groups—Wolfram Community
Pathway and network analysis of more than 2500 whole cancer genomes | Nature Communications
Accuracy of (A) FBA and (B) MOMA in predicting the fitness values of... | Download Scientific Diagram
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Mathematics | Free Full-Text | MoMA Algorithm: A Bottom-Up Modeling Procedure for a Modular System under Environmental Conditions
Silencing of long non-coding RNA Sox2ot inhibits oxidative stress and inflammation of vascular smooth muscle cells in abdominal aortic aneurysm via microRNA-145-mediated Egr1 inhibition - Figure f1 | Aging
The repertoire of mutational signatures in human cancer | Nature
Flowchart of the method as implemented in MOMA. a Example of structure... | Download Scientific Diagram
The Bioinformatics Group at MOMA
Performance benchmark analysis of MOMA with different methods | Download Table
Macrophage secretion of miR-106b-5p causes renin-dependent hypertension | Nature Communications
Hans Bitter - SVP, Head of Data Sciences - MOMA Therapeutics | LinkedIn
The evolutionary history of 2,658 cancers | Nature
Mathematics | Free Full-Text | MoMA Algorithm: A Bottom-Up Modeling Procedure for a Modular System under Environmental Conditions
The MOMA flux distribution: (A) wild-type E. coli network, (B) K = 5... | Download Scientific Diagram
A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction | BMC Bioinformatics | Full Text
