Author

Isaac Bakerman

Stanford Medicine

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Cell Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:mouse· 3 Assay:scRNA-seq· 3 Research Focus:cell type annotation· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Mark A. KrasnowiD· 3 shared Michael F. ClarkeiD· 3 shared Ross J. MetzgeriD· 3 shared Seung K. KimiD· 3 shared Aaron Demers· 2 shared Aaron M. KershneriD· 2 shared Aaron McGeeveriD· 2 shared Ahmad N. NabhaniD· 2 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Mark A. KrasnowORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets

Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, Snigdha Agarwal, Aditi Agrawal, Ahmad Al‐Moujahed, Alina A. Alam, Megan A. Albertelli, Paul Allegakoen, Thomas H. Ambrosi, Jane Antony, Steven E. Artandi, Fabienne Aujard, , Patricia Kim Phuong Nguyen

Portal integrates large-scale single-cell datasets efficiently and accurately by preserving biological variation across samples, platforms, and species.

Nature Computational Science · May 30, 2022Peer-reviewedBioinformatics

Molecular hallmarks of heterochronic parabiosis at single cell resolution

Róbert Pálovics, Andreas Keller, Nicholas Schaum, Weilun Tan, Tobias Fehlmann, Michael Borja, Fabian Kern, Liana N. Bonanno, Kruti Calcuttawala, James T. Webber, Aaron McGeever, Nicole Almanzar, Jane Antony, Ankit S. Baghel, Isaac Bakerman, , Rahul Sinha

This study uses single-cell RNA-sequencing to analyze cell type-specific responses to young or aged blood in heterochronic parabiosis, identifying mitochondrial function as a key factor in rejuvenation.

Nature · Mar 2, 2022Peer-reviewedGenomics

Single-cell transcriptomic characterization of 20 organs and tissues from individual mice creates a Tabula Muris

Nicholas Schaum, Jim Karkanias, Norma F Neff, Andrew P. May, Stephen R. Quake, Tony Wyss-Coray, Spyros Darmanis, Joshua Batson, Olga Botvinnik, Michelle B. Chen, Steven Chen, Foad Green, Robert Jones, Ashley Maynard, Lolita Penland, , Tony Wyss-Coray

The paper creates a single-cell transcriptomic atlas of 20 mouse organs and tissues, providing a resource for studying gene expression across cell types.

bioRxiv · Mar 29, 2018 · PreprintCell Biology