Martin Hemberg, Ph.D.
Affiliations: | Sanger Institute |
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"Martin Hemberg"Mean distance: 14.06 (cluster 29) | S | N | B | C | P |
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Publications
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| Hepkema J, Lee NK, Stewart BJ, et al. (2023) Predicting the impact of sequence motifs on gene regulation using single-cell data. Genome Biology. 24: 189 |
| Salmen F, De Jonghe J, Kaminski TS, et al. (2022) High-throughput total RNA sequencing in single cells using VASA-seq. Nature Biotechnology |
| Heaton H, Talman AM, Knights A, et al. (2020) Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes. Nature Methods |
| Georgakopoulos-Soares I, Koh G, Momen SE, et al. (2020) Transcription-coupled repair and mismatch repair contribute towards preserving genome integrity at mononucleotide repeat tracts. Nature Communications. 11: 1980 |
| Westoby J, Artemov P, Hemberg M, et al. (2020) Obstacles to detecting isoforms using full-length scRNA-seq data. Genome Biology. 21: 74 |
| Bayraktar OA, Bartels T, Holmqvist S, et al. (2020) Astrocyte layers in the mammalian cerebral cortex revealed by a single-cell in situ transcriptomic map. Nature Neuroscience |
| Wang R, Sharma R, Shen X, et al. (2020) Adult Human Glioblastomas Harbor Radial Glia-like Cells. Stem Cell Reports |
| Kiselev VY, Andrews TS, Hemberg M. (2019) Challenges in unsupervised clustering of single-cell RNA-seq data. Nature Reviews. Genetics |
| Andrews TS, Hemberg M. (2018) False signals induced by single-cell imputation. F1000research. 7: 1740 |
| Andrews TS, Hemberg M. (2018) M3Drop: Dropout-based feature selection for scRNASeq. Bioinformatics (Oxford, England) |