High-resolution detection of copy number alterations in single cells with HiScanner.
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| Title: | High-resolution detection of copy number alterations in single cells with HiScanner. |
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| Authors: | Zhao Y; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Program in Health Sciences & Technology, Harvard Medical School & Massachusetts Institute of Technology, Boston, MA, USA., Luquette LJ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Veit AD; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Wang X; Department of Probability and Statistics, School of Mathematical Sciences, Peking University, Beijing, China., Xi R; Department of Probability and Statistics, School of Mathematical Sciences, Peking University, Beijing, China., Viswanadham VV; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Zhang Y; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Shao DD; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA.; Department of Neurology, Boston Children's Hospital, Boston, MA, USA., Walsh CA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA., Yang HW; Department of Neurological Surgery, University of Massachusetts Chan Medical School, Worcester, MA, USA., Johnson MD; Department of Neurological Surgery, University of Massachusetts Chan Medical School, Worcester, MA, USA. mark.johnson3@umassmemorial.org., Park PJ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. peter_park@hms.harvard.edu. |
| Source: | Nature communications [Nat Commun] 2025 Jul 01; Vol. 16 (1), pp. 5477. Date of Electronic Publication: 2025 Jul 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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