Author

Ming Yan

University of California, Los AngelesORCID 0000-0002-8686-3530Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Ming Yan1 paper

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:deconvolution· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Gabrielle Magat· 2 shared Hong‐Wei DongiD· 2 shared Jason CongiD· 2 shared Karl Marrett· 2 shared Kathleen Wijaya· 2 shared Keivan MoradiiD· 2 shared Masood A. AkramiD· 2 shared Muye ZhuiD· 2 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Gabrielle Magat

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3 papers

Recent·Most cited

Gossamer: Scaling Image Processing and Reconstruction to Whole Brains

Karl Marrett, Keivan Moradi, Chris Sin Park, Ming Yan, Chris Choi, Muye Zhu, Masood A. Akram, Sumit Nanda, Qing Xue, Hyun-Seung Mun, Adriana E. Gutierrez, Mitchell Rudd, Brian Zingg, Gabrielle Magat, Kathleen Wijaya, , Jason Cong

Gossamer improves neuronal reconstruction by enabling whole-brain processing with reduced memory usage and higher automated yield compared to existing methods.

Lecture notes in computer science · Jan 1, 2025Peer-reviewedNeuroscience

Dendritome Mapping Unveils Spatial Organization of Striatal D1/D2-Neuron Morphology

Chang Sin Park, Ming Yan, Muye Zhu, Masood A. Akram, Nicholas N. Foster, Andrew Bennecke, Christopher Choi, Karl Marrett, Keivan Moradi, Jason Y. Zhang, Gabrielle Magat, Sumit Nanda, Raymond Vaca, Kathleen Wijaya, Jedrick Regala Zablan, , X. William Yang

The paper introduces a pipeline to profile dendritic morphology of genetically-defined single neurons in the mouse brain, revealing morphological modules and age- or HD-associated changes.

bioRxiv · Oct 24, 2024 · PreprintNeuroscience

Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares

Yuning Hao, Ming Yan, Blake R. Heath, Yu L. Lei, Yuying Xie

FARDEEP improves tumor-infiltrating lymphocyte deconvolution by using least trimmed squares to reduce outliers, providing more accurate immune cell composition estimates.

PLoS Computational Biology · May 6, 2019Peer-reviewedBioinformatics