Results 71 to 80 of about 2,170,661 (326)

An effective non-parametric method for globally clustering genes from expression profiles

open access: yes, 2007
Clustering is widely used in bioinformatics to find gene correlation patterns. Although many algorithms have been proposed, these are usually confronted with difficulties in meeting the requirements of both automation and high quality.
AK Jain   +20 more
core   +1 more source

Inferring synteny between genome assemblies: a systematic evaluation

open access: yesBMC Bioinformatics, 2017
Genome assemblies across all domains of life are being produced routinely. Initial analysis of a new genome usually includes annotation and comparative genomics.
Dang Liu, Martin Hunt, Isheng. J. Tsai
semanticscholar   +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

CpG islands or CpG clusters: how to identify functional GC-rich regions in a genome?

open access: yesBMC Bioinformatics, 2009
Background CpG islands (CGIs), clusters of CpG dinucleotides in GC-rich regions, are often located in the 5' end of genes and considered gene markers. Hackenberg et al.
Han Leng, Zhao Zhongming
doaj   +1 more source

A Framework for Monte Carlo based Multiple Testing [PDF]

open access: yes, 2016
We are concerned with a situation in which we would like to test multiple hypotheses with tests whose p-values cannot be computed explicitly but can be approximated using Monte Carlo simulation. This scenario occurs widely in practice.
Gandy, Axel, Hahn, Georg
core   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

open access: yesMolecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley   +5 more
wiley   +1 more source

DEVELOPMENT OF THE ALGORITHM FOR IDENTIFICATION OF THE LEVEL OF VIBRIO CHOLERAE CTXA AND TOXR GENE EXPRESSION USING RT-PCR WITH REAL-TIME HYBRIDIZATION-FLUORESCENT REGISTRATION OF RESULTS

open access: yesПроблемы особо опасных инфекций, 2017
Objective of the study is to design the algorithm for assessment of expression of the structural and regulatory virulence Vibrio cholerae genes by the model of ctxA and toxR genes encoding and controlling biosynthesis of cholera toxin.Materials and ...
A. A. Kritsky   +3 more
doaj   +1 more source

HE4 in the differential diagnosis of ovarian masses [PDF]

open access: yes, 2015
Ovarian masses, a common finding among pre- and post-menopausal women, can be benign or malignant. Ovarian cancer is the leading cause of death from gynecologic malignancy among women living in industrialized countries.
ANASTASI, Emanuela   +5 more
core   +1 more source

gdGSE: An algorithm to evaluate pathway enrichment by discretizing gene expression values

open access: yesComputational and Structural Biotechnology Journal
We proposed gdGSE, a novel computational framework for gene set enrichment analysis. Unlike conventional methods that rely on continuous gene expression values, gdGSE employs discretized gene expression profiles to assess pathway activity. This approach effectively mitigates discrepancies caused by data distributions.
Jiangti Luo   +5 more
openaire   +3 more sources

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns   +10 more
wiley   +1 more source

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