The recent advancements in toxicogenomics have led to the availability of large omics data
sets, representing the starting point for studying the exposure mechanism of action and …

Background In health research, multimodal omics data analysis is widely used to address
important clinical and biological questions. Traditional statistical methods rely on the strong …

Precision medicine aims to overcome the traditional one-model-fits-the-whole-population
approach that is unable to detect heterogeneous disease patterns and make accurate …

Objective The reasonable classification of a large number of distinct diagnosis codes can
clarify patient diagnostic information and help clinicians to improve their ability to assign and …

对于蓬勃发展的第三方支付平台, 挖掘非结构化数据中蕴含的分布信息有助于平台对商户精准细
分. 为充分挖掘多元交易分布信息, 本文提出针对多元分布样本的商户聚类算法 …

Gene therapies aim to address the root causes of diseases, particularly those stemming from
rare genetic defects that can be life-threatening or severely debilitating. While there has …

In recent years, high-throughput sequencing technologies generated rich resources of
diverse types of omics data. Using the integration and analysis of multi-omics datasets, we …

Cancer can be treated with many different methods, but all of them cause side effects that
affect the quality of life of the patient. These side effects can be monitored and collected …

Background The time until an event happens is the outcome variable of interest in the
statistical data analysis method known as survival analysis. Some researchers have created …

In addition to providing learners with a large amount of teaching resources, online teaching
platforms can also provide learning resources and channels such as video courseware …