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

Motivation: One important application of gene expression microarray data is classification of
samples into categories, such as the type of tumor. The use of microarrays allows …

Gene expression profiles could be generated in large quantities by utilizing microarray
techniques. Currently, the task of diagnosing diseases relies on gene expression data. One …

Hyperspectral fluorescence imaging (HFI) is a well-known technique in the medical research
field and is considered a non-invasive tool for tissue diagnosis. This review article gives a …

Rationale: Electronic noses are successfully used in commercial applications, including
detection and analysis of volatile organic compounds in the food industry. Objectives: We …

Dimensionality reduction is an important aspect in the pattern classification literature, and
linear discriminant analysis (LDA) is one of the most widely studied dimensionality reduction …

Machine learning offers a principled approach for developing sophisticated, automatic, and
objective algorithms for analysis of high-dimensional and multimodal biomedical data. This …

DNA microarray technology can monitor the expression levels of thousands of genes
simultaneously during important biological processes and across collections of related …

Motivation: This paper gives a new and efficient algorithm for the sparse logistic regression
problem. The proposed algorithm is based on the Gauss–Seidel method and is …

The ability to nondestructively image and automatically phenotype complex root systems,
like those of rice (Oryza sativa), is fundamental to identifying genes underlying root system …