Many gene signatures have been developed by applying machine learning (ML) on omics
profiles, however, their clinical utility is often hindered by limited interpretability and unstable …

ABSTRACT Machine learning (ML) algorithms are used to build predictive models or classifiers
for specific disease outcomes using transcriptomic data. However, some of these models …

Glioblastoma (GBM) is an aggressive brain tumor with median patient survival of about 15
months. The key reason for our poor understanding of GBM is that it is a highly heterogeneous …

The acquisition of predictive cancer data holds paramount importance for comprehending
the multifaceted dimensions of cancer incidence. This imperative extends beyond mere …

" From the early seventeenth to the mid-nineteenth century, the Tokugawa shogunate enacted
and enforced myriad laws and ordinances to control nearly every aspect of Japanese life, …

This study examines how austerity measures may have adversely affected children and women
in a sample of 128 developing countries in 2012. It relies on International Monetary Fund …

This study examines how austerity measures may have adversely affected children and women
in a sample of 128 developing countries in 2012. It relies on International Monetary Fund …

Fiscal austerity has blanketed European and North American headlines since 2010. However,
little attention has been paid to the experience of public finances among developing …

Nearly a decade ago, a Government of National Unity (GNU) was established in Zimbabwe
based on the Global Political Agreement (GPA) which was mediated by the Southern African …

In studies of cellular function in cancer, researchers are increasingly able to choose from many
-omics assays as functional readouts. Choosing the correct readout for a given study can …