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A PROCESS FOR DISCRIMINATING BETWEEN BIOLOGICAL STATES BASED ON PATTERNS FROM BIOLOGICAL DATA.

机译:基于生物数据中的模式区分生物状态的过程。

摘要

The invention describes a process for determining a biological state through the discovery and analysis of hidden or non-obvious, discriminatory biological data patterns. The biological data can be from health data, clinical data, or from a biological sample, (eg. A biological sample from a human, eg. serum, blood, saliva, plasma, nipple aspirants, synovial fluids, cerebrospinal fluids, sweat, urine, fecal matter, tears, bronchial lavage, swabbings, needle aspirantas, semen, vaginal fluids, pre-ejaculate), etc. which is analyzed to determine the biological state of the donor. The biological state can be a pathologic diagnosis, toxicity state, efficiacy of a drug, prognosis of a disease, etc. Specifically, the invention concerns processes that discover hidden discriminatory biological data patterns (eg. patterns of protein expression in a serum sample that classify the biological state of an organ) that describe biological states.
机译:本发明描述了一种通过发现和分析隐藏的或非显而易见的,有区别的生物学数据模式来确定生物学状态的方法。生物学数据可以来自健康数据,临床数据或生物学样品,例如来自人类的生物学样品,例如血清,血液,唾液,血浆,乳头抽吸剂,滑液,脑脊髓液,汗液,尿液,粪便,眼泪,支气管灌洗,拭子,阿司匹林针,精液,阴道液,射精前等)进行分析,以确定供体的生物学状态。生物学状态可以是病理诊断,毒性状态,药物功效,疾病预后等。具体而言,本发明涉及发现隐藏的歧视性生物学数据模式(例如,血清样品中分类的蛋白质表达模式)的过程。描述器官状态的器官的生物学状态)。

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