Author

Timothy Rajakumar

University of OxfordORCID 0000-0002-0334-4349Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Alastair D.G. LambiD· 2 shared Andrew M. EricksoniD· 2 shared Dan J. WoodcockiD· 2 shared Freddie Charles HamdyiD· 2 shared Ian Geoffrey MillsiD· 2 shared Alia ShamikhiD· 1 shared Alma AnderssoniD· 1 shared Andrew L. JiiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Alastair D.G. LambORCID

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Author profile →

3 papers

Recent·Most cited

LOAM: A family of genomic language models trained on long-read soil metagenomes

Quentin R. V. Ferry, Maurice Frank, Julia Jehn, Matthias Schaks, Bruno R. Steinkraus, Timothy Rajakumar

LOAM is a family of genomic language models trained on long-read soil metagenomes, showing competitive performance despite a small training corpus and highlighting the importance of model scale and training data composition.

bioRxiv · Oct 2, 2026 · PreprintGenomics

Clonal phylogenies inferred from bulk, single cell, and spatial transcriptomic analysis of cancer

Andrew M. Erickson, Sandy Figiel, Timothy Rajakumar, Srinivasa R. Rao, Wencheng Yin, Dimitrios Doultsinos, Anette Magnussen, Reema Singh, Ninu Poulose, Richard J. Bryant, Olivier Cussenot, Freddie Charles Hamdy, Dan J. Woodcock, Ian Geoffrey Mills, Alastair D.G. Lamb

The paper evaluates the accuracy of transcript-based inferred tumor phylogenies compared to DNA-based phylogenies in prostate cancer using single-cell, spatial transcriptomic, and bulk data.

bioRxiv · Feb 26, 2023 · PreprintBioinformatics

The spatial landscape of clonal somatic mutations in benign and malignant tissue

Andrew M. Erickson, Emelie Berglund, Mengxiao He, Maja Marklund, Reza Mirzazadeh, Niklas Schultz, Ludvig Bergenstråhle, Linda Kvastad, Alma Andersson, Joseph Bergenstråhle, Ludvig Larsson, Alia Shamikh, Elisa Basmaci, Teresita Díaz de Ståhl, Timothy Rajakumar, , Joakim Lundeberg

The paper uses spatial transcriptomics to analyze copy number variations in benign and malignant tissues, revealing clonal patterns and suggesting early cancer evolution mechanisms.

bioRxiv · Jul 12, 2021 · PreprintGenomics