Author

John D Lewis

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 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron F. Alexander‐BlochiD· 1 shared Aiden Peter CorviniD· 1 shared Alan C Evans· 1 shared Ali GholipouriD· 1 shared Andrea Parolin JackowskiiD· 1 shared Andreas HeinziD· 1 shared Anthony David EdwardsiD· 1 shared Ariosky Areces-Gonzalez· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Aaron F. Alexander‐BlochORCID

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Author profile →

2 papers

Recent·Most cited

dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts

Fengling Hu, Jiayi Tong, Margaret Gardner, Chris L. Adamson, Sophie Adler, Aaron F. Alexander‐Bloch, Evdokia Anagnostou, Kevin M Anderson, Ariosky Areces-Gonzalez, Duncan Edward Astle, Bonnie Auyeung, Muhammad Ayub, Jong Bin Bae, Gareth Ball, Simon Baron‐Cohen, , Jiao Li

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

Bioinformatics · Dec 24, 2025Peer-reviewedBioinformatics

Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data

Elaheh Moradi, Budhachandra Khundrakpam, John D Lewis, Alan C Evans, Jussi Tohka

The paper develops a machine learning method to predict symptom severity in ASD using cortical thickness data from multi-site ABIDE data, achieving better performance than existing approaches.

NeuroImage · Jan 1, 2017Peer-reviewedNeuroscience