| D007166 |
Immunosuppressive Agents |
Agents that suppress immune function by one of several mechanisms of action. Classical cytotoxic immunosuppressants act by inhibiting DNA synthesis. Others may act through activation of T-CELLS or by inhibiting the activation of HELPER CELLS. While immunosuppression has been brought about in the past primarily to prevent rejection of transplanted organs, new applications involving mediation of the effects of INTERLEUKINS and other CYTOKINES are emerging. |
Immunosuppressant,Immunosuppressive Agent,Immunosuppressants,Agent, Immunosuppressive,Agents, Immunosuppressive |
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| D010976 |
Platelet Count |
The number of PLATELETS per unit volume in a sample of venous BLOOD. |
Blood Platelet Count,Blood Platelet Number,Platelet Number,Blood Platelet Counts,Blood Platelet Numbers,Count, Blood Platelet,Count, Platelet,Counts, Blood Platelet,Counts, Platelet,Number, Blood Platelet,Number, Platelet,Numbers, Blood Platelet,Numbers, Platelet,Platelet Count, Blood,Platelet Counts,Platelet Counts, Blood,Platelet Number, Blood,Platelet Numbers,Platelet Numbers, Blood |
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| D011090 |
Polyenes |
Hydrocarbons with more than one double bond. They are a reduced form of POLYYNES. |
Cumulenes |
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| D011869 |
Radioligand Assay |
Quantitative determination of receptor (binding) proteins in body fluids or tissue using radioactively labeled binding reagents (e.g., antibodies, intracellular receptors, plasma binders). |
Protein-Binding Radioassay,Radioreceptor Assay,Assay, Radioligand,Assay, Radioreceptor,Assays, Radioligand,Assays, Radioreceptor,Protein Binding Radioassay,Protein-Binding Radioassays,Radioassay, Protein-Binding,Radioassays, Protein-Binding,Radioligand Assays,Radioreceptor Assays |
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| D002851 |
Chromatography, High Pressure Liquid |
Liquid chromatographic techniques which feature high inlet pressures, high sensitivity, and high speed. |
Chromatography, High Performance Liquid,Chromatography, High Speed Liquid,Chromatography, Liquid, High Pressure,HPLC,High Performance Liquid Chromatography,High-Performance Liquid Chromatography,UPLC,Ultra Performance Liquid Chromatography,Chromatography, High-Performance Liquid,High-Performance Liquid Chromatographies,Liquid Chromatography, High-Performance |
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| D006801 |
Humans |
Members of the species Homo sapiens. |
Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man |
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| D012680 |
Sensitivity and Specificity |
Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed) |
Specificity,Sensitivity,Specificity and Sensitivity |
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| D013997 |
Time Factors |
Elements of limited time intervals, contributing to particular results or situations. |
Time Series,Factor, Time,Time Factor |
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| D015203 |
Reproducibility of Results |
The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results. |
Reliability and Validity,Reliability of Result,Reproducibility Of Result,Reproducibility of Finding,Validity of Result,Validity of Results,Face Validity,Reliability (Epidemiology),Reliability of Results,Reproducibility of Findings,Test-Retest Reliability,Validity (Epidemiology),Finding Reproducibilities,Finding Reproducibility,Of Result, Reproducibility,Of Results, Reproducibility,Reliabilities, Test-Retest,Reliability, Test-Retest,Result Reliabilities,Result Reliability,Result Validities,Result Validity,Result, Reproducibility Of,Results, Reproducibility Of,Test Retest Reliability,Validity and Reliability,Validity, Face |
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| D016014 |
Linear Models |
Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression. |
Linear Regression,Log-Linear Models,Models, Linear,Linear Model,Linear Regressions,Log Linear Models,Log-Linear Model,Model, Linear,Model, Log-Linear,Models, Log-Linear,Regression, Linear,Regressions, Linear |
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