Feature selection is a preprocessing technique that identifies the key features of a given
problem. It has traditionally been applied in a wide range of problems that include biological …

Metastasis causes most cancer deaths, yet this process remains one of the most enigmatic
aspects of the disease. Building on new mechanistic insights emerging from recent …

Carcinoma of unknown primary (CUP) is a type of metastatic cancer with tissue-of-origin
(TOO) unidentifiable by traditional methods. CUP patients typically have poor prognosis but …

OBJECTIVE: To create a genomic tool composed of a customized microarray and a
bioinformatic predictor for endometrial dating and to detect pathologies of endometrial …

BACKGROUND Unique metastatic patterns cited in the literature often arise from anecdotal
clinical observations and autopsy reports. The authors analyzed clinical data from a large …

MicroRNAs (miRNAs) belong to a class of noncoding, regulatory RNAs that is involved in
oncogenesis and shows remarkable tissue specificity. Their potential for tumor classification …

With the rapid advances of various high-throughput technologies, generation of '-omics' data
is commonplace in almost every biomedical field. Effective data management and analytical …

OBJECTIVE: To compare the accuracy and reproducibility of the endometrial receptivity
array (ERA) versus standard histologic methods. DESIGN: A comparative prospective study …

This review summarizes how sophisticated imaging, immunohistochemical testing, and
molecular-profiling tools are changing the approach to cancer of unknown primary site …

We present a new approach to molecular classification based on mRNA comparisons. Our
method, referred to as the top-scoring pair (s)(TSP) classifier, is motivated by current …