Now showing items 20-29 of 29

• #### Predicting beneficial effects of atomoxetine and citalopram on response inhibition in Parkinson's disease with clinical and neuroimaging measures ﻿

(Wiley, 2016-01-12)
Recent studies indicate that selective noradrenergic (atomoxetine) and serotonergic (citalopram) reuptake inhibitors may improve response inhibition in selected patients with Parkinson's disease, restoring behavioral ...
• #### Prediction of Antibiotic Interactions Using Descriptors Derived from Molecular Structure ﻿

(American Chemical Society, 2017-05-11)
Combination antibiotic therapies are clinically important in the fight against bacterial infections. However, the search space of drug combinations is large, making the identification of effective combinations a challenging ...
• #### Problematic internet use (PIU): Associations with the impulsivecompulsive spectrum. An application of machine learning in psychiatry ﻿

(Elsevier, 2016-08-15)
Problematic internet use is common, functionally impairing, and in need of further study. Its relationship with obsessive-compulsive and impulsive disorders is unclear. Our objective was to evaluate whether problematic ...
• #### Quantification of the influences of built-form upon travel of employed adults: new models based on the UK National Travel Survey ﻿

(2017-09-01)
After decades of research, a host of analytical difficulties is still hindering our understanding of the influences of the built form on travel. The main challenges are (a) assembling good quality data that reflects the ...

• #### SC3: consensus clustering of single-cell RNA-seq data ﻿

(Nature Publishing Group, 2017-05-01)
Single-cell RNA-seq enables the quantitative characterization of cell types based on global transcriptome profiles. We present single-cell consensus clustering (SC3), a user-friendly tool for unsupervised clustering, which ...
• #### Single atom imaging with time-resolved electron microscopy ﻿

(2017-12-20)
Developments in scanning transmission electron microscopy (STEM) have opened up new possibilities for time-resolved imaging at the atomic scale. However, rapid imaging of single atom dynamics brings with it a new set of ...
• #### The Generalised Gaussian Process Convolution Model ﻿

(2016-10-22)
This thesis formulates the Generalised Gaussian Process Convolution Model (GGPCM), which is a generalisation of the Gaussian Process Convolution Model presented by Tobar et al. [2015b]. The GGPCM provides a theoretical ...
• #### TIGERi: Modeling and visualizing the responses to perturbation of a transcription factor network ﻿

$\textbf{Background}$ Transcription factor (TF) networks play a key role in controlling the transfer of genetic information from gene to mRNA. Much progress has been made on understanding and reverse-engineering TF network ...
• #### Web-based machine learning models for real-time screening of thermoelectric materials properties ﻿

(American Institute of Physics, 2016-05-27)
The experimental search for new thermoelectric materials remains largely confined to a limited set of successful chemical and structural families, such as chalcogenides, skutterudites, and Zintl phases. In principle, ...