Author

Anna Rychkova

Alector (United States)

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 Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:benchmarking· 2 Research Focus:database / resource· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Abhayjit SainiiD· 1 shared Adiljan Ibrahim· 1 shared Alexander ChebykiniD· 1 shared Alice BuonfiglioliiD· 1 shared Ananya MitraiD· 1 shared Angie Yee· 1 shared Arnon RosenthaliD· 1 shared Belvin Gong· 1 shared

Activity by Year

2017-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperImmunology

Abhayjit SainiORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Interpretable gene networks from single-cell foundation models reveal conserved neurogenic dysfunction in Parkinson's disease

Jun Yin, Maya L. Gosztyla, Birkan Gökbağ, Anna Rychkova, Isabel V. L. Wilkinson, John St John, Vega Shah, Sarah Nickels, Jens Christian Schwamborn, Robert T. Fremeau

The paper introduces scGENet, a framework to generate interpretable gene networks from single-cell foundation models, revealing conserved neurogenic dysfunction in Parkinson's disease.

bioRxiv · Jul 27, 2026 · PreprintNeuroscience

Simulated Microgravity Recapitulates Aspects of Biological Aging in Humans

Fei Wu, Alexander Chebykin, Anna Rychkova, Kevin Schneider, Matías Fuentealba, Abhayjit Saini, Heather Halaweh, Nathan A. Bracey, Mark M. Davis, Daniel A. Winer, David Furman

This study uses simulated microgravity to model biological aging in humans, finding similar transcriptional changes to natural aging across multiple systems and aging hallmarks.

bioRxiv · Mar 5, 2026 · PreprintImmunology

The Alzheimers Disease Risk Genes MS4A4A And MS4A6A Cooperate to Negatively Regulate Trem2 and Microglia states

Dalya Rosner, Jiahong Sun, Rita Cacace, Angie Yee, Chaitanya Wagh, Anna Rychkova, Mariah Dunlap, Daniel R. Gulbranson, Adiljan Ibrahim, Xiaoting Wang, Rebecca Y. Wang, Alice Buonfiglioli, Muhammad Alhawagri, Philip L. Kong, Marina K. Roell, , Arnon Rosenthal

This study shows that MS4A4A and MS4A6A negatively regulate TREM2 and microglial function in Alzheimer's disease, suggesting they are potential drug targets.

Neuron · Dec 22, 2025Peer-reviewedNeuroscience

DEVELOPING GENE-SPECIFIC META-PREDICTOR OF VARIANT PATHOGENICITY

Anna Rychkova, MyMy C. Buu, Curt Scharfe, Martina I. Lefterova, Justin Iver Odegaard, Iris Schrijver, Carlos E. Milla, Carlos D. Bustamante

The paper develops a gene-specific meta-predictor for variant pathogenicity using a Random Forest model trained on the CFTR gene and evaluates its performance against existing tools.

bioRxiv · Mar 10, 2017 · PreprintBioinformatics