Tensor-structured decomposition improves systems serology analysis.
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| Title: | Tensor-structured decomposition improves systems serology analysis. |
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| Authors: | Tan ZC; Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA., Murphy MC; Computational and Systems Biology, University of California, Los Angeles, Los Angeles, CA, USA., Alpay HS; Department of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA., Taylor SD; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA., Meyer AS; Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA.; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA.; Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, USA. |
| Source: | Molecular systems biology [Mol Syst Biol] 2021 Sep; Vol. 17 (9), pp. e10243. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: EMBO Press Country of Publication: Germany NLM ID: 101235389 Publication Model: Print Cited Medium: Internet ISSN: 1744-4292 (Electronic) Linking ISSN: 17444292 NLM ISO Abbreviation: Mol Syst Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1744-4292 |
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| DOI: | 10.15252/msb.202110243 |
