SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data.
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| Title: | SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data. |
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| Authors: | Lu X; Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis., Tu SW; Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis., Chang W; Department of Electrical and Computer Engineering, Purdue University., Wan C; Department of Electrical and Computer Engineering, Purdue University., Wang J; Biomedical Data Research Data (BDRD) Lab at Indiana University School of Medicine., Zang Y; Department of Biostatistics and a member of the Center for Computational Biology and Bioinformatics, Indiana University School of Medicine., Ramdas B; Department of Pediatrics, Indiana University School of Medicine., Kapur R; Department of Pediatrics, Indiana University School of Medicine., Lu X; Department of Medical and Molecular Genetics, Indiana University School of Medicine., Cao S; Computational Biology and Bioinformatics, Indiana University School of Medicine., Zhang C; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine. |
| Source: | Briefings in bioinformatics [Brief Bioinform] 2021 Jul 20; Vol. 22 (4). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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