Learn More
The aim of the study was to determine the pharmacokinetics of lansoprazole and its main metabolites (5'-hydroxy lansoprazole and lansoprazole sulphone) after administration of enteric-coated tablet in healthy Chinese subjects classified by CYP2C19 genotypes, and evaluate the effects of CYP2C19 genotypes on the pharmacokinetics of the three compounds. A(More)
Transfer learning has been proposed to address the problem of scarcity of labeled data in the target domain by leveraging the data from the source domain. In many real world applications, data is often represented from different perspectives, which correspond to multiple views. For example, a web page can be described by its contents and its associated(More)
Myeloid cell leukemia-1 (Mcl-1) is an anti-apoptotic protein that belongs to the Bcl-2 family. The aberrant expression of Mcl-1 is important for sensitivity to chemotherapy drugs in gastric cancer. However, the regulatory mechanism of Mcl-1 in gastric cancer cells remains unclear. In this study, we first found that Forkhead box M1 (FOXM1) and Mcl-1(More)
The idea of local learning, i.e., classifying a particular example based on its neighbors, has been successfully applied to many semi-supervised and clustering problems recently. However, the local learning methods developed so far are all devised for single-view problems. In fact, in many real-world applications, examples are represented by multiple sets(More)
In Multiple Instance Learning (MIL), each entity is normally expressed as a set of instances. Most of the current MIL methods only deal with the case when each instance is represented by one type of features. However, in many real world applications, entities are often described from several different information sources/views. For example, when applying(More)
Transfer Learning is a very important branch in both Machine Learning and Data Mining. Its main objective is to transfer knowledge across domains, tasks and distributions that are similar but not the same. Currently, almost all of the transfer learning methods are designed to deal with the traditional single instance learning problems. However, in many(More)