Results 121 to 130 of about 2,170,661 (326)
A realistic assessment of methods for extracting gene/protein interactions from free text
Background The automated extraction of gene and/or protein interactions from the literature is one of the most important targets of biomedical text mining research.
Shepherd Adrian J +2 more
doaj +1 more source
The major tasks in multiple query processing in multi database system are common operation or expression identification and global execution plan construction. Each query can have several alternative evaluation plans, each with a different set of tasks.
Sambit Kumar Mishra, Srikanta Pattnaik
openaire +1 more source
The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley +1 more source
ABSTRACT Background Computational approaches to support rare disease diagnosis are challenging to build, requiring the integration of complex data types such as ontologies, gene-to-phenotype associations, and cross-species data into variant and gene prioritisation algorithms (VGPAs).
Yasemin Bridges +14 more
openaire +5 more sources
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Iterative class discovery and feature selection using Minimal Spanning Trees
Background Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples are based on distance metrics utilizing all genes.
Simon Richard, Varma Sudhir
doaj +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
ABSTRACT Objectives WHO grade 4 astrocytomas are associated with poor prognosis, and their prognostic factors remain controversial. This study aimed to identify the prognostic factors and develop a management algorithm for these patients. Methods This study retrospectively included 151 CNS5 adult grade 4 astrocytomas from two medical centers.
Jiawei Cai +13 more
wiley +1 more source
In this paper I report on an investigation into the problem of assigning tones to pitch contours. The proposed model is intended to serve as a tool for phonologists working on instrumentally obtained pitch data from tone languages.
Bird, Steven
core +1 more source
The advent of high throughput RNA-seq at the single-cell level has opened up new opportunities to elucidate the heterogeneity of gene expression. One of the most widespread applications of RNA-seq is to identify genes which are differentially expressed ...
Mihails Delmans, M. Hemberg
semanticscholar +1 more source

