Cervical cancer is one of the leading causes of cancer and cancer-related deaths among women worldwide. More than 85% of cases and deaths occur in the developing world where the availability of effective screening is limited. In this issue of the journal, Pierce and colleagues (beginning on page 1273) describe a novel technique using a high-resolution microendoscope (HRME) to diagnose cervical ...

Partial least squares (PLS) regression combines dimensionality reduction and prediction using a latent variable model. It provides better predictive ability than principle component analysis by taking into account both the independent and response variables in the dimension reduction procedure. However, PLS suffers from over-fitting problems for few samples but many variables. We formulate a ne...

With the flourishing development of highdimensional data, sparse versions of principal component analysis (PCA) have imposed themselves as simple, yet powerful ways of selecting relevant features in an unsupervised manner. However, when several sparse principal components are computed, the interpretation of the selected variables may be difficult since each axis has its own sparsity pattern and...