[HTML][HTML] Machine learning in nutrition research
Data currently generated in the field of nutrition are becoming increasingly complex and
high-dimensional, bringing with them new methods of data analysis. The characteristics of …
high-dimensional, bringing with them new methods of data analysis. The characteristics of …
Variation of a test's sensitivity and specificity with disease prevalence
Background: Anecdotal evidence suggests that the sensitivity and specificity of a diagnostic
test may vary with disease prevalence. Our objective was to investigate the associations …
test may vary with disease prevalence. Our objective was to investigate the associations …
Nivolumab plus ipilimumab or nivolumab alone versus ipilimumab alone in advanced melanoma (CheckMate 067): 4-year outcomes of a multicentre, randomised …
FS Hodi, V Chiarion-Sileni, R Gonzalez, JJ Grob… - The Lancet …, 2018 - thelancet.com
Background Previously reported results from the phase 3 CheckMate 067 trial showed a
significant improvement in objective responses, progression-free survival, and overall …
significant improvement in objective responses, progression-free survival, and overall …
[HTML][HTML] Overall survival with combined nivolumab and ipilimumab in advanced melanoma
JD Wolchok, V Chiarion-Sileni… - … England Journal of …, 2017 - Mass Medical Soc
Background Nivolumab combined with ipilimumab resulted in longer progression-free
survival and a higher objective response rate than ipilimumab alone in a phase 3 trial …
survival and a higher objective response rate than ipilimumab alone in a phase 3 trial …
Atlas of subcellular RNA localization revealed by APEX-Seq
We introduce APEX-seq, a method for RNA sequencing based on direct proximity labeling of
RNA using the peroxidase enzyme APEX2. APEX-seq in nine distinct subcellular locales …
RNA using the peroxidase enzyme APEX2. APEX-seq in nine distinct subcellular locales …
[HTML][HTML] Introduction to machine learning: k-nearest neighbors
Z Zhang - Annals of translational medicine, 2016 - ncbi.nlm.nih.gov
Abstract Machine learning techniques have been widely used in many scientific fields, but its
use in medical literature is limited partly because of technical difficulties. k-nearest …
use in medical literature is limited partly because of technical difficulties. k-nearest …
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various …
Landslides are natural and sometimes quasi-natural hazards that are destructive to natural
resources and cause loss of human life every year. Hence, preparing susceptibility maps for …
resources and cause loss of human life every year. Hence, preparing susceptibility maps for …
Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy
WB Dunn, DI Broadhurst, HJ Atherton… - Chemical society …, 2011 - pubs.rsc.org
The study of biological systems in a holistic manner (systems biology) is increasingly being
viewed as a necessity to provide qualitative and quantitative descriptions of the emergent …
viewed as a necessity to provide qualitative and quantitative descriptions of the emergent …
A lncRNA signature associated with tumor immune heterogeneity predicts distant metastasis in locoregionally advanced nasopharyngeal carcinoma
Increasing evidence has revealed the roles of long noncoding RNAs (lncRNAs) as tumor
biomarkers. Here, we introduce an immune-associated nine-lncRNA signature for predicting …
biomarkers. Here, we introduce an immune-associated nine-lncRNA signature for predicting …
Spatial prediction of wildfire susceptibility using field survey GPS data and machine learning approaches
Recently, global climate change discussions have become more prominent, and forests are
considered as the ecosystems most at risk by the consequences of climate change. Wildfires …
considered as the ecosystems most at risk by the consequences of climate change. Wildfires …