Results 61 to 70 of about 3,887,902 (293)

Motor Nucleus of the Trigeminal Nerve [PDF]

open access: yes, 2008
This report contains a summary of expression patterns for genes that are enriched in the motor nucleus of the trigeminal nerve (V) of the pons. All data is derived from the Allen Brain Atlas (ABA) in situ hybridization mouse project. The structure's
Allen Institute for Brain Science   +3 more
core   +2 more sources

Gene Expression Data Clustering

open access: yesSoutheast Europe Journal of Soft Computing, 2013
Gene expression analysis is becoming very important in order to understand complex living organisms. Rather than analyzing genes individually, there is more powerful approach, microarray technology to analyze the genes expression in high throughput. This new approach brings new analyses problems that make the interpretation difficult. To understand the
openaire   +2 more sources

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács   +8 more
wiley   +1 more source

FARO server: Meta-analysis of gene expression by matching gene expression signatures to a compendium of public gene expression data

open access: yesBMC Research Notes, 2011
Background Although, systematic analysis of gene annotation is a powerful tool for interpreting gene expression data, it sometimes is blurred by incomplete gene annotation, missing expression response of key genes and secondary gene expression responses.
Nielsen Henrik B, Manijak Mieszko P
doaj   +1 more source

Extreme self-organization in networks constructed from gene expression data [PDF]

open access: yes, 2002
We study networks constructed from gene expression data obtained from many types of cancers. The networks are constructed by connecting vertices that belong to each others' list of K-nearest-neighbors, with K being an a priori selected non-negative ...
D. Gerhold   +4 more
core   +1 more source

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson   +3 more
wiley   +1 more source

A microfluidic processor for gene expression profiling of single human embryonic stem cells [PDF]

open access: yes, 2008
The gene expression of human embryonic stem cells (hESC) is a critical aspect for understanding the normal and pathological development of human cells and tissues.
Chen, Yan   +6 more
core   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski   +9 more
wiley   +1 more source

A linear mixed model approach to gene expression-tumor aneuploidy association studies. [PDF]

open access: yes, 2019
Aneuploidy, defined as abnormal chromosome number or somatic DNA copy number, is a characteristic of many aggressive tumors and is thought to drive tumorigenesis.
Balanis, Nikolas G   +3 more
core  

Gene-Ontology-based clustering of gene expression data [PDF]

open access: yesBioinformatics, 2004
Abstract Summary: The expected correlation between genetic co-regulation and affiliation to a common biological process is not necessarily the case when numerical cluster algorithms are applied to gene expression data. GO-Cluster uses the tree structure of the Gene Ontology database as a framework for numerical clustering, and thus ...
Adryan, B., Schuh, R.
openaire   +3 more sources

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