Ntranos, Vasilis

A multimodal cell census and atlas of the mammalian primary motor cortex

BRAIN Initiative Cell Census Network (BICCN), BRAIN Initiative Cell Census Network (BICCN) Corresponding authors, Callaway, E. M., Dong, H.-W., Ecker, J. R., Hawrylycz, M. J., Huang, Z. J., Lein, E. S., Ngai, J., Osten, P., et al. (2021) · Nature

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 522

A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex

Yao, Z., Liu, H., Xie, F., Fischer, S., Adkins, R. S., Aldridge, A. I., Ament, S. A., Bartlett, A., Behrens, M. M., Van den Berge, K., et al. (2021) · Nature

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 398

An integrated transcriptomic and epigenomic atlas of mouse primary motor cortex cell types

Yao, Z., Liu, H., Xie, F., Fischer, S., Booeshaghi, A. S., Adkins, R. S., Aldridge, A. I., Ament, S. A., Pinto-Duarte, A., Bartlett, A., et al. (2020) · Nature

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 397

Targeted Elimination of Senescent Beta Cells Prevents Type 1 Diabetes

Thompson, P. J., Shah, A., Ntranos, V., Van Gool, F., Atkinson, M., & Bhushan, A. (2019) · Cell Metabolism

Diabetes and associated disordersPancreatic function and diabetes

Cited by 353

Determining sequencing depth in a single-cell RNA-seq experiment

Zhang, M. J., Ntranos, V., & Tse, D. (2020) · Nature Communications

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 112

Democratizing protein language model training, sharing and collaboration

Su, J., Li, Z., Tao, T., Han, C., He, Y., Dai, F., Yuan, Q., Gao, Y., Si, T., Zhang, X., et al. (2026) · Nature Biotechnology

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 35

Alpha cell dysfunction in type 1 diabetes is independent of a senescence program

Brawerman, G., Ntranos, V., & Thompson, P. J. (2022) · Frontiers in Endocrinology

Pancreatic function and diabetesDiabetes and associated disorders

Cited by 24

Genome-wide prediction of disease variants with a deep protein language model

Brandes, N., Goldman, G., Wang, C. H., Ye, C. J., & Ntranos, V. (2022) · bioRxiv (Cold Spring Harbor Laboratory)

Genomics and Rare DiseasesMachine Learning in Bioinformatics

Cited by 24

Uncovering differential tolerance to deletions versus substitutions with a protein language model

Goldman, G., Chati, P., & Ntranos, V. (2025) · Cell Systems

Evolution and Genetic DynamicsGenomics and Rare Diseases

Cited by 0

Uncovering differential tolerance to deletions versus substitutions with a protein language model

Goldman, G., Chati, P., & Ntranos, V. (2024) · Cell Systems

Evolution and Genetic DynamicsGenomics and Rare Diseases

Cited by 0