Highly-accurate prediction of colorectal cancer through low abundance uncultivated genomes recovered using metagenomic co-assembly and binning approach.
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| Title: | Highly-accurate prediction of colorectal cancer through low abundance uncultivated genomes recovered using metagenomic co-assembly and binning approach. |
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| Authors: | Lin PT; Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan.; Intelligent Manufacturing Innovation Center, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Wu YW; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, 250, Wuxing St., Sinyi District, Taipei, 11031, Taiwan. yuwei.wu@tmu.edu.tw.; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, 11031, Taiwan. yuwei.wu@tmu.edu.tw.; TMU Research Center for Digestive Medicine, Taipei Medical University, Taipei, 11031, Taiwan. yuwei.wu@tmu.edu.tw. |
| Source: | BMC cancer [BMC Cancer] 2025 Sep 18; Vol. 25 (Suppl 2), pp. 1418. Date of Electronic Publication: 2025 Sep 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2407 |
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| DOI: | 10.1186/s12885-025-14787-5 |
