Author

Xiaoman Zhang

Boston UniversityORCID 0000-0002-4572-5764Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Carol Smith· 1 shared Claire RioualeniD· 1 shared Gabriele BaniulyteiD· 1 shared James E. GalaganiD· 1 shared Jonathan PlitnickiD· 1 shared Joseph T. WadeiD· 1 shared Julio Collado‐VidesiD· 1 shared Laura Gómez-RomeroiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Carol Smith

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1 paper

Recent·Most cited

Predictive Biophysical Neural Network Modeling of a Compendium of in vivo Transcription Factor DNA Binding Profiles for Escherichia coli

Patrick Lally, Laura Gómez-Romero, Víctor H. Tierrafría, Patricia Aquino, Claire Rioualen, Xiaoman Zhang, Sunyoung Kim, Gabriele Baniulyte, Jonathan Plitnick, Carol Smith, Mohan Babu, Julio Collado‐Vides, Joseph T. Wade, James E. Galagan

The paper maps DNA binding of 139 E. coli TFs using ChIP-Seq and trains BoltzNet, a neural network that predicts TF binding energy from DNA sequence, validated with biophysical experiments.

Nature Communications · May 7, 2025Peer-reviewedBioinformatics