Addressing statistical challenges in the analysis of proteomics data with extremely small sample size: a simulation study.
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| Title: | Addressing statistical challenges in the analysis of proteomics data with extremely small sample size: a simulation study. |
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| Authors: | Lee KH; Institute for Clinical Research and Learning Health Care, Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA. Kyung.Hyun.Lee@uth.tmc.edu., Assassi S; Department of Internal Medicine - Rheumatology, University of Texas Health Science Center at Houston, Houston, TX, USA., Mohan C; Department of Biomedical Engineering, University of Houston, Houston, TX, USA., Pedroza C; Institute for Clinical Research and Learning Health Care, Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA. |
| Source: | BMC genomics [BMC Genomics] 2024 Nov 14; Vol. 25 (1), pp. 1086. Date of Electronic Publication: 2024 Nov 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164 (Electronic) Linking ISSN: 14712164 NLM ISO Abbreviation: BMC Genomics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2164 |
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| DOI: | 10.1186/s12864-024-11018-2 |
