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BMC Bioinformatics, ISSN 1471-2105, 05/2012, Volume 13, Issue 1, pp. 86 - 86
Background: There has been a long-standing need in biomedical research for a method that quantifies the normally mixed composition of leukocytes beyond what is... 
HEAD | STEM-CELLS | SUBPOPULATIONS | BIOCHEMICAL RESEARCH METHODS | VALIDATION | PERIPHERAL-BLOOD | CANCER | MEASUREMENT ERROR | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | ABSOLUTE COUNTS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | GENE-EXPRESSION | T-LYMPHOCYTE SUBSETS | Data Interpretation, Statistical | Obesity - immunology | Ovarian Neoplasms - diagnosis | Epigenesis, Genetic | Humans | Ovarian Neoplasms - blood | Gene Expression Profiling | Obesity - blood | Obesity - genetics | Down Syndrome - immunology | Leukocytes - immunology | DNA Methylation | Head and Neck Neoplasms - immunology | Head and Neck Neoplasms - blood | Computer Simulation | Down Syndrome - blood | Female | Head and Neck Neoplasms - diagnosis | Down Syndrome - diagnosis | Leukocyte Count - methods | Oligonucleotide Array Sequence Analysis - statistics & numerical data | Ovarian Neoplasms - immunology | Medical research | Squamous cell carcinoma | Science | B cells | Cell differentiation | Gene expression | Ovarian cancer | Computer programs | Analysis | DNA | Medicine, Experimental | Methylation | Antigenic determinants | Flow cytometry | Disease | Pathogenesis | Colleges & universities | Cytotoxicity | Statistical methods | Epidemiology | Blood | Manuscripts | Algorithms | Lymphocytes | DNA methylation | Biomarkers | Epigenetics | Software | Metabolic disorders | Deoxyribonucleic acid--DNA | Immune system | Peripheral blood | Data processing | Head and neck cancer | Epitopes | Leukocytes | Differentiation | Bioinformatics | squamous cell carcinoma
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