AI Medical Compendium Journal:
Oncotarget

Showing 41 to 44 of 44 articles

Exploiting machine learning for predicting skeletal-related events in cancer patients with bone metastases.

Oncotarget
The aim of the bone metastases (BM) treatment is to prevent the occurrence of skeletal-related events (SREs). In clinical, physicians could only predict the occurrence of SREs by subjective experience. Machine learning (ML) could be used as predictiv...

The drug target genes show higher evolutionary conservation than non-target genes.

Oncotarget
Although evidence indicates that drug target genes share some common evolutionary features, there have been few studies analyzing evolutionary features of drug targets from an overall level. Therefore, we conducted an analysis which aimed to investig...

A chemotherapy response classifier based on support vector machines for high-grade serous ovarian carcinoma.

Oncotarget
Long-term outcome of high-grade serous epithelial ovarian carcinoma (HGSOC) remains poor as a result of recurrence and the emergence of drug resistance. Almost all the patients were given the same platinum-based chemotherapy after debulking surgery e...

LncRNA ontology: inferring lncRNA functions based on chromatin states and expression patterns.

Oncotarget
Accumulating evidences suggest that long non-coding RNAs (lncRNAs) perform important functions. Genome-wide chromatin-states area rich source of information about cellular state, yielding insights beyond what is typically obtained by transcriptome pr...