Author

Melanie M. Cobb

Gladstone Institutes

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Mariya Barch· 2 shared Steven M. FinkbeineriD· 2 shared Alexandra G. BeilinaiD· 1 shared Amanda Courtright-LimiD· 1 shared Amber Logemann· 1 shared Anastasia IllarionovaiD· 1 shared Andrew SingletoniD· 1 shared Bessie Meechoovet· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Mariya Barch

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

The Foundational data initiative for Parkinsons disease (FOUNDIN-PD): enabling efficient translation from genetic maps to mechanism

Elisângela Bressan, Xylena Reed, Vikas Bansal, Elizabeth D. Hutchins, Melanie M. Cobb, Michelle G. Webb, Eric B. Alsop, Francis P. Grenn, Anastasia Illarionova, Natalia Savytska, Ivo Violich, Stefanie Bröer, Noémia Fernandes, Ramiyapriya Sivakumar, Alexandra G. Beilina, , Cornelis Blauwendraat

The paper presents a multi-layered molecular dataset from iPSC-derived dopaminergic neurons to model Parkinson's disease genetic risk and provides a data browser for accessing these resources.

Cell Genomics · Feb 6, 2023Peer-reviewedGenomics

A deep learning approach to neurite prediction in high throughput fluorescence imaging

Mariya Barch, Melanie M. Cobb, Zachary Tokuno, Jen Leddy, Keili Prenton, Linus Manubens-Gil, Nicole Bellini, Stephanie Lam, Julia Kaye, Mara Dierssen, Steven M. Finkbeiner

The paper develops a deep learning algorithm to predict neurite structure and length in fluorescence imaging, achieving near-human accuracy and efficiency for large datasets.

bioRxiv · Apr 23, 2021 · PreprintNeuroscience