标题： 白血病在多维形态和分子景观中的熵 显示英文标题

标题： Entropy of leukemia on multidimensional morphological and molecular landscapes

摘要： 白血病代表了新技术旨在通过使用大量单细胞水平信息来解决的高度复杂疾病类别。 实现这一目标关键不仅在于实验技术，还在于解释数据的方法。 一个最紧迫的问题是从产生的大量信息中识别出疾病的显著定量特征。 在这里，我展示了在特定多维分子和形态学景观上细胞群体分布的熵值提供了一组用于精确表征正常和病理状态的度量，例如对应于健康个体和急性髓系白血病（AML）患者的状况。 我提供了一个系统的过程来识别特定的景观，并说明如何将这种方法应用于外周血和骨髓穿刺液的细胞样本，从而仅通过流式细胞术数据准确诊断AML。 该方法可以普遍应用于其他类型的细胞群体，并建立了传统统计热力学方法与生物医学应用之间的直接联系。 显示英文摘要

摘要： Leukemia epitomizes the class of highly complex diseases that new technologies aim to tackle by using large sets of single-cell level information. Achieving such goal depends critically not only on experimental techniques but also on approaches to interpret the data. A most pressing issue is to identify the salient quantitative features of the disease from the resulting massive amounts of information. Here, I show that the entropies of cell-population distributions on specific multidimensional molecular and morphological landscapes provide a set of measures for the precise characterization of normal and pathological states, such as those corresponding to healthy individuals and acute myeloid leukemia (AML) patients. I provide a systematic procedure to identify the specific landscapes and illustrate how, applied to cell samples from peripheral blood and bone marrow aspirates, this characterization accurately diagnoses AML from just flow cytometry data. The methodology can generally be applied to other types of cell-populations and establishes a straightforward link between the traditional statistical thermodynamics methodology and biomedical applications.