World's Best Scientists 2026 revealed!

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Computer Science

D-Index
40
Citations
5593
World Ranking
9410
National Ranking
588

Overview

Magnus Rattray is affiliated with the University of Manchester in the United Kingdom. Their research primarily focuses on Biochemistry, Genetics, and Molecular Biology, with 99 publications in this main field of study.

The scientist has worked extensively within several subfields, including Molecular Biology, Immunology, Genetics, Infectious Diseases, and Epidemiology. Their key research topics span:

  • Single-cell and spatial transcriptomics
  • Genomics and Chromatin Dynamics
  • RNA Research and Splicing
  • Gene Regulatory Network Analysis
  • T-cell and B-cell Immunology
  • COVID-19 Clinical Research Studies
  • RNA modifications and cancer

Among the recent papers authored or co-authored by Magnus Rattray are:

  • "Longitudinal immune profiling reveals key myeloid signatures associated with COVID-19" (2020, Science Immunology)
  • "Modulation of the Promoter Activation Rate Dictates the Transcriptional Response to Graded BMP Signaling Levels in the Drosophila Embryo" (2020, Developmental Cell)
  • "Analysis of chromatin organization and gene expression in T cells identifies functional genes for rheumatoid arthritis" (2020, Nature Communications)
  • "Murine AGM single-cell profiling identifies a continuum of hemogenic endothelium differentiation marked by ACE" (2021, Blood)
  • "Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments" (2021, Bioinformatics)

Magnus Rattray frequently publishes in several notable venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • Scientific Reports
  • Nucleic Acids Research
  • Lara D. Veeken

The scientist collaborates regularly with several co-authors, among whom are:

  • Hilary L. Ashe
  • Stephen Eyre
  • Angela Simpson
  • Antony Adamson
  • Paul Martin

Best Publications

  • Making sense of big data in health research: Towards an EU action plan

    Charles Auffray;Charles Auffray;Rudi Balling;Inês Barroso;László Bencze

  • Identifying differentially expressed transcripts from RNA-seq data with biological variation

    Peter Glaus;Antti Honkela;Magnus Rattray

  • Gene expression profiling in human neurodegenerative disease

    Johnathan Cooper-Knock;Janine Kirby;Laura Ferraiuolo;Paul R. Heath

  • Bayesian Phylogenetics Using an RNA Substitution Model Applied to Early Mammalian Evolution

    H. Jow;C. Hudelot;M. Rattray;P. G. Higgs

  • Making sense of microarray data distributions.

    David C. Hoyle;Magnus Rattray;Ray Jupp;Andrew Brass

  • Gaussian process modelling of latent chemical species

    Pei Gao;Antti Honkela;Magnus Rattray;Neil D. Lawrence

  • Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities

    Guido Sanguinetti;Neil D. Lawrence;Magnus Rattray

  • Modelling transcriptional regulation using Gaussian Processes

    Neil D. Lawrence;Guido Sanguinetti;Magnus Rattray

  • Model-based Method for Transcription Factor Target Identification with Limited Data

    Antti Honkela;Charles Girardot;E. Hilary Gustafson;Ya Hsin Liu

  • Distinguishing Asthma Phenotypes Using Machine Learning Approaches

    Rebecca Howard;Magnus Rattray;Mattia Prosperi;Mattia Prosperi;Adnan Custovic;Adnan Custovic

  • A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips

    Xuejun Liu;Marta Milo;Neil D. Lawrence;Magnus Rattray

  • Fast Variational Inference in the Conjugate Exponential Family

    James Hensman;Magnus Rattray;Neil D. Lawrence

  • Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters

    James Hensman;Neil D Lawrence;Magnus Rattray

  • Natural gradient descent for on-line learning

    Magnus Rattray;David Saad;Shun-ichi Amari

  • A tumor progression model for hepatocellular carcinoma: bioinformatic analysis of genomic data.

    Terence C.W. Poon;Terence C.W. Poon;Nathalie Wong;Paul B.S. Lai;Magnus Rattray

  • Genome-wide modeling of transcription kinetics reveals patterns of RNA production delays

    Antti Honkela;Jaakko Peltonen;Hande Topa;Iryna Charapitsa

  • Probe-level measurement error improves accuracy in detecting differential gene expression

    Xuejun Liu;Marta Milo;Neil D Lawrence;Magnus Rattray

  • puma: a Bioconductor package for propagating uncertainty in microarray analysis

    Richard D Pearson;Richard D Pearson;Xuejun Liu;Guido Sanguinetti;Marta Milo

  • Evolutionary Systems Biology of Amino Acid Biosynthetic Cost in Yeast

    Michael D. Barton;Michael D. Barton;Daniela Delneri;Stephen G. Oliver;Stephen G. Oliver;Magnus Rattray

  • Accounting for probe-level noise in principal component analysis of microarray data

    Guido Sanguinetti;Marta Milo;Magnus Rattray;Neil D. Lawrence

  • Principal-component-analysis eigenvalue spectra from data with symmetry-breaking structure

    D. C. Hoyle;M. Rattray

  • Genome-wide occupancy links Hoxa2 to Wnt–β-catenin signaling in mouse embryonic development

    Ian J. Donaldson;Shilu Amin;James J. Hensman;Eva Kutejova

Frequent Co-Authors

Neil D. Lawrence
Neil D. Lawrence University of Cambridge
David Saad
David Saad Aston University
Stephen G. Oliver
Stephen G. Oliver University of Cambridge
Guido Sanguinetti
Guido Sanguinetti International School for Advanced Studies
Nancy Papalopulu
Nancy Papalopulu University of Manchester
Christoph Bock
Christoph Bock Austrian Academy of Sciences
Angela Simpson
Angela Simpson University of Manchester
Xuejun Liu
Xuejun Liu China Agricultural University
David G. Spiller
David G. Spiller University of Manchester
Simon J. Hubbard
Simon J. Hubbard Manchester Academic Health Science Centre

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