Results 21 to 30 of about 3,862,378 (258)

Is diabetes associated with increased pathological burden in Alzheimer's disease?

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2021
Introduction We examined the association between Alzheimer's disease (AD) and type 2 diabetes mellitus (DM) and hypothesized that diabetes is associated with an increased pathological burden in clinically and pathologically diagnosed AD. Methods All data
Kaviyon Sadrolashrafi, Suzanne Craft, Boris Decourt, Abdu Adem, Jeffrey R. Wilson, Justin Miller, Marwan N. Sabbagh   +6 more
doaj   +1 more source

Machine learning based prediction for oncologic outcomes of renal cell carcinoma after surgery using Korean Renal Cell Carcinoma (KORCC) database

Scientific Reports, 2023
We developed a novel prediction model for recurrence and survival in patients with localized renal cell carcinoma (RCC) after surgery and a novel statistical method of machine learning (ML) to improve accuracy in predicting outcomes using a large Asian ...
Jung Kwon Kim, Sangchul Lee, Sung Kyu Hong, Cheol Kwak, Chang Wook Jeong, Seok Ho Kang, Sung-Hoo Hong, Yong-June Kim, Jinsoo Chung, Eu Chang Hwang, Tae Gyun Kwon, Seok-Soo Byun, Yu Jin Jung, Junghyun Lim, Jiyeon Kim, Hyeju Oh   +15 more
doaj   +1 more source

A General Introduction To Graph Visualization Techniques [PDF]

, 2012
Generally, a graph is an abstract data type used to represent relations among a given set of data entities. Graphs are used in numerous applications within the field of information visualization, such as VLSI (circuit schematics), state-transition ...
Ebert, Achim, Keller, Patric, Tarawaneh, Raga\u27ad M.   +2 more
core   +1 more source

Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty [PDF]

, 2014
Interneuron classification is an important and long-debated topic in neuroscience. A recent study provided a data set of digitally reconstructed interneurons classified by 42 leading neuroscientists according to a pragmatic classification scheme composed
Benavides-Piccione, Ruth, Bielza Lozoya, María Concepción, De Felipe Oroquieta, Javier, Larrañaga Múgica, Pedro María, Mihaljevic, Bojan   +4 more
core   +2 more sources

CloudNet: Ground‐Based Cloud Classification With Deep Convolutional Neural Network

Geophysical Research Letters, 2018
Clouds have an enormous influence on the Earth's energy balance, climate, and weather. Cloud types have different cloud radiative effects, which is an essential indicator of the cloud effect on radiation.
Jinglin Zhang, Pu Liu, Feng Zhang, Qianqian Song   +3 more
doaj   +1 more source

scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data

Genome Biology, 2019
scRNA-seq dataset integration occurs in different contexts, such as the identification of cell type-specific differences in gene expression across conditions or species, or batch effect correction. We present scAlign, an unsupervised deep learning method
Nelson Johansen, Gerald Quon
doaj   +1 more source

Statistical process control for data without inherent order [PDF]

, 2012
Background The XmR chart is a powerful analytical tool in statistical process control (SPC) for detecting special causes of variation in a measure of quality. In this analysis a statistic called the average moving range is used as a measure of dispersion
Alan J Poots, Thomas Woodcock
core   +3 more sources

Single-nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypes

BMC Bioinformatics, 2023
Background Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that is highly phenotypically and genetically heterogeneous. With the accumulation of biological sequencing data, more and more studies shift to molecular subtype-first ...
Junjie Zhang, Guoli Ji, Xilin Gao, Jinting Guan   +3 more
doaj   +1 more source

Network enrichment analysis: extension of gene-set enrichment analysis to gene networks [PDF]

, 2012
Background Gene-set enrichment analyses (GEA or GSEA) are commonly used for biological characterization of an experimental gene-set. This is done by finding known functional categories, such as pathways or Gene Ontology terms, that are over-represented ...
Alexeyenko Andrey, Dessen Philippe, Guegan Justin, Lazar Vladimir, Lee Woojoo, Lehtiö Janne, Pawitan Yudi, Pernemalm Maria   +7 more
core   +2 more sources

Single-cell transcriptome and cell type-specific molecular pathways of human non-alcoholic steatohepatitis

Scientific Reports, 2022
The aim of this study is to characterize cell type-specific transcriptional signatures in non-alcoholic steatohepatitis (NASH) to improve our understanding of the disease.
Rikard G. Fred, Julie Steen Pedersen, Jonatan J. Thompson, Julie Lee, Pascal N. Timshel, Stefan Stender, Marte Opseth Rygg, Lise Lotte Gluud, Viggo Bjerregaard Kristiansen, Flemming Bendtsen, Torben Hansen, Tune H. Pers   +11 more
doaj   +1 more source