Author

Kenong Su

Emory University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Ataur KatebiiD· 1 shared Benjamin ClaussiD· 1 shared Danya Gordin· 1 shared Mingyang LuiD· 1 shared Mingyao LiiD· 1 shared Minxing PangiD· 1 shared Radha Krishna Murthy KaruturiiD· 1 shared Sheng LiiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperSystems Biology

Ataur KatebiORCID

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2 papers

Recent·Most cited

NetAct: a computational platform to construct core transcription factor regulatory networks using gene activity

Kenong Su, Ataur Katebi, Vivek Kohar, Benjamin Clauss, Danya Gordin, Zhaohui Steve Qin, Radha Krishna Murthy Karuturi, Sheng Li, Mingyang Lu

NetAct constructs core transcription factor regulatory networks using transcriptomics data and literature databases, outperforming existing methods in network inference.

Genome biology · Dec 27, 2022Peer-reviewedSystems Biology

Leveraging information in spatial transcriptomics to predict super-resolution gene expression from histology images in tumors

Minxing Pang, Kenong Su, Mingyao Li

Modelling all spots of a section jointly with a Vision Transformer, HisToGene predicts expression from H&E images better than a re-implemented ST-Net and adds 4x super-resolution prediction.

bioRxiv · Nov 28, 2021 · PreprintBioinformatics✦ In-depth digest