Author

Minshi Peng

Carnegie Mellon UniversityORCID 0000-0002-7625-3683Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:batch correction / integration· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:eQTL / molecular QTL mapping· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Brooke K. SheppardiD· 2 shared Joon‐Yong AniD· 2 shared Kathryn RoederiD· 2 shared Lambertus KleiiD· 2 shared Michael S. BreeniD· 2 shared Shan DongiD· 2 shared A. Ercüment ÇiçekiD· 1 shared Aarno V. PalotieiD· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersNeuroscience

Brooke K. SheppardORCID

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3 papers

Recent·Most cited

cFIT: Integration and transfer learning of single cell transcriptomes, illustrated by fetal brain cell development

Minshi Peng, Yue Li, Brie Wamsley, Yuting Wei, Kathryn Roeder

cFIT integrates and transfers single-cell transcriptomes across species and technologies, revealing transcriptional similarities in fetal brain development.

bioRxiv · Aug 31, 2020 · PreprintGenomics

Whole-genome and RNA sequencing reveal variation and transcriptomic coordination in the developing human prefrontal cortex

Donna M. Werling, Sirisha Pochareddy, Jinmyung Choi, Joon‐Yong An, Brooke K. Sheppard, Minshi Peng, Zhen Li, Claudia Dastmalchi, Gabriel Santpere, André M. M. Sousa, Andrew T.N. Tebbenkamp, Navjot Kaur, Forrest O. Gulden, Michael S. Breen, Lindsay Liang, , Nenad Šestan

The paper uses whole-genome and RNA sequencing from the human prefrontal cortex to identify genetic variants and transcriptomic changes associated with neurodevelopment and neuropsychiatric disorders.

Cell Reports · Apr 1, 2020Peer-reviewedNeuroscience

Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism

F. Kyle Satterstrom, Jack A. Kosmicki, Jiebiao Wang, Michael S. Breen, Silvia De Rubeis, Joon‐Yong An, Minshi Peng, Ryan L. Collins, Jakob Grove, Lambertus Klei, Christine R. Stevens, Jennifer G. Reichert, Maureen Mulhern, Mykyta Artomov, Sherif Gerges, , Kaija Puura

This study identifies 99 genes associated with autism spectrum disorder through large-scale exome sequencing, showing differences in mutation frequencies between ASD and severe neurodevelopmental delay groups.

Cell · Jan 1, 2019Peer-reviewedGenetics