Author

Xiaochen Long

Baylor College of 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

Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Diego di BernardoiD· 1 shared Elad ChomskyiD· 1 shared Evgeny KineriD· 1 shared Francisco Avila CobosiD· 1 shared Frank WestermanniD· 1 shared Hua‐Sheng ChiuiD· 1 shared Jan J. MolenaariD· 1 shared Jessica L. EppsiD· 1 shared

Activity by Year

2023-2023 · peak 1/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

1 shared paperSystems Biology

Diego di BernardoORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Effective methods for bulk RNA-Seq deconvolution using scnRNA-Seq transcriptomes

Francisco Avila Cobos, Mohammad Javad Najaf Panah, Jessica L. Epps, Xiaochen Long, Tsz‐Kwong Man, Hua‐Sheng Chiu, Elad Chomsky, Evgeny Kiner, Michael Krueger, Diego di Bernardo, Luis Filipe Voloch, Jan J. Molenaar, Sander R. van Hooff, Frank Westermann, Selina Jansky, , Pavel Sumazin

The paper evaluates deconvolution methods for bulk RNA-Seq using scnRNA-Seq data, identifies biases, and introduces SQUID, a method that outperforms others in predicting cell mixtures and identifying cancer subclones.

Genome biology · Aug 1, 2023Peer-reviewedSystems Biology