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researcher

Hongkui Zeng

Allen Institute for Brain Science

4 papers hereh-index 9045.8k citations261 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.NC3
  • q-bio.GN1
affiliations
  • Allen Institute for Brain Science
Homepage

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedA coupled autoencoder approach for multi-modal analysis of cell types

17 citations · 24 across the 4 of their papers we have counts for

collaborators

4 papers

q-bio.NC2023★ 7 cited

Neuroscience needs Network Science

Dániel L Barabási, Ginestra Bianconi, Ed Bullmore +17

The brain is a complex system comprising a myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has…

q-bio.NC2020

Common Cell type Nomenclature for the mammalian brain: A systematic, extensible convention

Jeremy A. Miller, Nathan W. Gouwens, Bosiljka Tasic +7

The advancement of single cell RNA-sequencing technologies has led to an explosion of cell type definitions across multiple organs and organisms. While standards for data and metad…

q-bio.NC2019★ 17 cited

A coupled autoencoder approach for multi-modal analysis of cell types

Rohan Gala, Nathan Gouwens, Zizhen Yao +6

Recent developments in high throughput profiling of individual neurons have spurred data driven exploration of the idea that there exist natural groupings of neurons referred to as…

q-bio.GN2019

A community-based transcriptomics classification and nomenclature of neocortical cell types

Rafael Yuste, Michael Hawrylycz, Nadia Aalling +68

To understand the function of cortical circuits it is necessary to classify their underlying cellular diversity. Traditional attempts based on comparing anatomical or physiological…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.