Author

Alvaro G. Alvarado

University of California, Los AngelesORCID 0000-0002-4049-8400Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Organism:mouse· 1

Frequent Co-Authors

Harley I. KornblumiD· 3 shared Daniel H. GeschwindiD· 2 shared Steven A. GoldmaniD· 2 shared Akifumi HagiwaraiD· 1 shared Angela Y. CheniD· 1 shared Anthony WangiD· 1 shared Benjamin M. EllingsoniD· 1 shared Giovana R. OnziiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersNeuroscience

Harley I. KornblumORCID

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3 papers

Recent·Most cited

Single-nucleus analysis characterizes non-enhancing region of recurrent high-grade glioma

Kunal S. Patel, Kaleab K. Tessema, Riki Kawaguchi, Lindsey Anne Dudley, Alvaro G. Alvarado, Sree Deepthi Muthukrishnan, Travis Perryman, Akifumi Hagiwara, Vivek Swarup, Linda M. Liau, Anthony Wang, William H. Yong, Daniel H. Geschwind, Ichiro Nakano, Steven A. Goldman, , Harley I. Kornblum

The paper uses single-nucleus RNA-sequencing to compare non-enhancing and contrast-enhancing regions of high-grade gliomas, finding distinct cellular states and microenvironment features in NE regions.

Neuro-Oncology Advances · Jan 1, 2024Peer-reviewedNeuroscience

Conservation and divergence of vulnerability and responses to stressors between human and mouse astrocytes

Jiwen Li, Lin Pan, William G. Pembroke, Jessica E. Rexach, Marlesa I. Godoy, Michael C. Condro, Alvaro G. Alvarado, Mineli Harteni, Yen‐Wei Chen, Linsey Stiles, Angela Y. Chen, Ina B. Wanner, Xia Yang, Steven A. Goldman, Daniel H. Geschwind, , Ye Zhang

The paper compares gene expression and stress responses in human and mouse astrocytes, finding conserved and divergent features that may explain differences in disease models.

Nature Communications · Jun 25, 2021Peer-reviewedNeuroscience

SCOUT: Single-cell outlier analysis in cancer

Giovana R. Onzi, Juliano L. Faccioni, Alvaro G. Alvarado, Paula Andreghetto Bracco, Harley I. Kornblum, Guido Lenz

SCOUT identifies and analyzes outlier cells in cancer single-cell data to uncover biologically significant information not apparent in whole-population analysis.

bioRxiv · Mar 25, 2020 · PreprintBioinformatics