Young, Matthew D

Gene ontology analysis for RNA-seq: accounting for selection bias

Young, M. D., Wakefield, M. J., Smyth, G. K., & Oshlack, A. (2010) · Genome Biology

Bioinformatics and Genomic NetworksGenomics and Phylogenetic Studies

Cited by 7,107

SoupX removes ambient RNA contamination from droplet based single-cell RNA sequencing data

Young, M. D., & Behjati, S. (2018) · GigaScience

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 1,648

SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data

Young, M. D., & Behjati, S. (2020) · GigaScience

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 1,619

BBKNN: fast batch alignment of single cell transcriptomes

Polański, K., Young, M. D., Miao, Z., Meyer, K. B., Teichmann, S. A., & Park, J.-E. (2020) · Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 932

Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors

Young, M. D., Mitchell, T. J., Vieira Braga, F. A., Tran, M. G. B., Stewart, B. J., Ferdinand, J. R., Collord, G., Botting, R. A., Popescu, D.-M., Loudon, K. W., et al. (2018) · Science

Single-cell and spatial transcriptomicsRenal cell carcinoma treatment

Cited by 762

Decoding human fetal liver haematopoiesis

Popescu, D.-M., Botting, R. A., Stephenson, E., Green, K., Webb, S., Jardine, L., Calderbank, E. F., Polanski, K., Goh, I., Efremova, M., et al. (2019) · Nature

Hematopoietic Stem Cell TransplantationSingle-cell and spatial transcriptomics

Cited by 606

Recurrent mutation of IGF signalling genes and distinct patterns of genomic rearrangement in osteosarcoma

Behjati, S., Tarpey, P. S., Haase, K., Ye, H., Young, M. D., Alexandrov, L. B., Farndon, S. J., Collord, G., Wedge, D. C., Martincorena, I., et al. (2017) · Nature Communications

Sarcoma Diagnosis and TreatmentBone Tumor Diagnosis and Treatments

Cited by 261