Author

Xiaochuan Zhao

University of FloridaORCID 0000-0002-0127-4789Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:statistical model· 1

Frequent Co-Authors

Germán PlataiD· 1 shared Purushottam D. DixitiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

1 shared paperSystems Biology

Germán PlataORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Systems BiologyPLoS Computational BiologyPeer-reviewedAug 6, 2021

SiGMoiD: A super-statistical generative model for binary data

Xiaochuan Zhao, Germán Plata, Purushottam D. Dixit

SiGMoiD is a generative model for binary data that infers constraints from data and handles large variable counts, enabling clustering and reduced dimensionality.

11 citations

statistical modelbenchmarking

𝕏 PostBluesky