Author

Mariya Barch

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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Neuroscience· 2 Cell Biology· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Assay:imaging· 4 Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1

Frequent Co-Authors

Steven M. FinkbeineriD· 5 shared Julia KayeiD· 3 shared Melanie M. Cobb· 2 shared Naufa Amirani· 2 shared Reuben ThomasiD· 2 shared Zohreh Faghihmonzavi· 2 shared Alexandra G. BeilinaiD· 1 shared Amanda Courtright-LimiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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5 shared papersNeuroscience

Steven M. FinkbeinerORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Predictive Cellular Signatures from Live Human Motor Neurons Distinguish TDP-43 ALS and Enable ALS Subtype Stratification

Julia Kaye, Naufa Amirani, Úna Chan, Noura Al Bistami, Zohreh Faghihmonzavi, Monika Ahirwar, Reuben Thomas, Wesley Robinson, Edward Vertudes, Krishna Raja, Mariya Barch, Drew A. Linsley, Ana Jovičić, Steven M. Finkbeiner

This paper uses machine learning to identify cellular signatures in human motor neurons that distinguish TDP-43 ALS subtypes and enable patient stratification.

bioRxiv · Apr 24, 2026 · PreprintNeuroscience

Intersecting impact of CAG repeat and Huntingtin knockout in stem cell-derived cortical neurons

Jennifer T. Stocksdale, Matthew Joseph Leventhal, Stephanie Lam, Yuxin Xu, Yi Wang, Keona Q. Wang, Reuben Thomas, Zohreh Faghihmonzavi, Yogindra Raghav, Charlene Smith-Geater, Jie Wu, Ricardo Miramontes, Kanchan Sarda, Heather Johnston, Min‐Gyoung Shin, , Leslie Michels Thompson

This study compares the effects of HTT knockout and CAG repeat expansion in cortical neurons, identifying shared and distinct biological pathways involved in HD.

Neurobiology of Disease · Apr 19, 2025Peer-reviewedCell Biology

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

Single cell tracking based on Voronoi partition via stable matching

Young Hwan Chang, Jeremy W. Linsley, Josh Lamstein, Jaslin Kalra, Irina Epstein, Mariya Barch, Kenneth Daily, Phil Synder, Larsson Omberg, Laura M. Heiser, Steven M. Finkbeiner

This paper introduces a cell tracking method based on Voronoi partition and stable matching to improve tracking accuracy from coarsely sampled live-cell imaging data.

IEEE Conference on Decision and Control (CDC) · Dec 14, 2020Peer-reviewedSystems Biology