The complexity of the human sense of smell is increasingly reflected in complex and high-
dimensional data, which opens opportunities for data-driven approaches that complement …

Abstract Machine learning and data analytics are being increasingly used for quantitative
structure property relation (QSPR) applications in the chemical domain where the traditional …

The ENCyclopedia of DNA Elements (ENCODE) consortium has generated transcription
factor (TF) binding ChIP-seq data covering hundreds of TF proteins and cell types; however …

Odor descriptors are words used to express human olfactory perception. At a certain level,
predicting the odor descriptor rating using an electronic nose (E-nose) equips the machine …

Sleep arousals are transient periods of wakefulness punctuated into sleep. Excessive sleep
arousals are associated with symptoms such as sympathetic activation, non-restorative …

An important goal in researching the biology of olfaction is to link the perception of smells to
the chemistry of odorants. In other words, why do some odorants smell like fruits and others …

Predicting odor's pleasantness with electronic nose can simplify the evaluation process of
odors, and it has potential applications in the perfumes and environmental monitoring …

SK‑MEL‑5 is a human melanoma cell line that has been used in various studies to explore
new therapies against melanoma in different in vitro experiments. Based on this study we …

We derived and implemented a linear classification algorithm for the prediction of a
molecule's odor, called Olfactory Weighted Sum (OWSum). Our approach relies solely on …

Purpose Our objective was to establish a random forest model and to evaluate its predictive
capability of the treatment effect of neoadjuvant chemotherapy–radiation therapy. Methods …