Author

Kris Ganjam

Allen InstituteORCID 0000-0003-1116-1697Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Alana A. OyamaiD· 1 shared Alex TraniD· 1 shared Amy TorkelsoniD· 1 shared Anamika AgrawaliD· 1 shared Andreas TjärnbergiD· 1 shared Angela P. AyalaiD· 1 shared Anish Bhaswanth ChakkaiD· 1 shared Augustin RuiziD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alana A. OyamaORCID

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2 papers

Recent·Most cited

NeuroscienceCell Reports MethodsPeer-reviewedOct 1, 2026

A dataset of differentiable biologically-derived single neuron models

Calvin Yeung, Kris Ganjam, Zihan Zhang…·Zhixin Lu

The paper presents a database of over 1,000 differentiable single-neuron models fitted to mouse and human patch-clamp recordings, with PyTorch code for integration into machine learning.

DOI 10.1016/j.crmeth.2026.101638

mousehuman

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NeurosciencebioRxivPreprintJul 2, 2026

Multiregional single-cell profiling reveals shared and specialized cellular vulnerability in Alzheimer's disease

Kyle J. Travaglini, Mariano I. Gabitto, Yi Ding…·Ed S. Lein

This study uses single-nucleus RNA-seq, ATAC-seq, and Multiome to analyze Alzheimer's disease across multiple brain regions, revealing shared and region-specific cellular vulnerabilities.

3 citations

humanscRNA-seq

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