Results 41 to 50 of about 191,482 (312)

The evaluation of an identification algorithm for Mycobacterium species using the 16S rRNA coding gene and rpoB

International Journal of Mycobacteriology, 2012
Conventional biochemical tests are the standard for the identification of Mycobacterium species, but molecular identifications are becoming more prevalent. The rpoB gene encodes the β-subunit of RNA polymerase and is utilized for the identification of Mycobacterium species. In the present study, a stepwise Mycobacterium species identification algorithm
Yuko Kazumi, Satoshi Mitarai
openaire   +3 more sources

A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data

BMC Bioinformatics, 2008
Background The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a number of different ways to identify cell cycle dependent genes. In this study,
Tcha Hong, Bae Cheol, Kim Chang
doaj   +1 more source

Molecular signatures of tumor progression in pancreatic adenocarcinoma identified by energy metabolism characteristics

BMC Cancer, 2022
Background In this study, we performed a molecular evaluation of primary pancreatic adenocarcinoma (PAAD) based on the comprehensive analysis of energy metabolism-related gene (EMRG) expression profiles.
Cong Tan, Xin Wang, Xu Wang, Weiwei Weng, Shu-juan Ni, Meng Zhang, Hesheng Jiang, Lei Wang, Dan Huang, Weiqi Sheng, Mi-die Xu   +10 more
doaj   +1 more source

A Better Mechanistic Understanding of Big Data through an Order Search Using Causal Bayesian Networks

Big Data and Cognitive Computing, 2022
Every year, biomedical data is increasing at an alarming rate and is being collected from many different sources, such as hospitals (clinical Big Data), laboratories (genomic and proteomic Big Data), and the internet (online Big Data).
Changwon Yoo, Efrain Gonzalez, Zhenghua Gong, Deodutta Roy   +3 more
doaj   +1 more source

Comparative evaluation of isoform-level gene expression estimation algorithms for RNA-seq and exon-array platforms [PDF]

Briefings in Bioinformatics, 2016
Given that the majority of multi-exon genes generate diverse functional products, it is important to evaluate expression at the isoform level. Previous studies have demonstrated strong gene-level correlations between RNA sequencing (RNA-seq) and microarray platforms, but have not studied their concordance at the isoform level.
Matthew Dapas, Manoj Kandpal, Yingtao Bi, Ramana V. Davuluri   +3 more
openaire   +2 more sources

An empirical evaluation of the effectiveness of different types of predictor attributes in protein function prediction. [PDF]

, 2009
Many classification schemes for defining protein functions, such as Gene Ontology (GO), are organised in a hierarchical structure. Nodes near the root of the hierarchy represent general functions while nodes near the leaves of the hierarchy represent ...
Segond, Marc, Otero, Fernando E.B., Fernando Otero, Robilliard, Denis, Colin G. Johnson, Denis Robilliard, Johnson, Colin G., Fonlupt, Cyril, Alex A. Freitas, Cyril Fonlupt, Freitas, Alex A., Marc Segond   +11 more
core   +1 more source

The use of RNAIII inhibitory peptide in the treatment of elderly patients with staphylococcus aureus infection and construction of fuzzy mathematical model for curative effect evaluation

Results in Physics, 2021
The study aims to explore application of RNAIII inhibiting peptide (RIP) and image information counting algorithm in the rehabilitation treatment plan of staphylococcus aureus infection in old people’s bone and joint.
Hong Ye, Lihong Wu, Wangyuan Zhang, Jianrong Li, Xiaomin Sun, Chunxia Chen, Yuxia Sun, Jinfeng Han   +7 more
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Evolutionary Clustering Algorithm with Knowledge-Based Evaluation for Fuzzy Cluster Analysis of Gene Expression Profiles [PDF]

, 2005
Clustering method, which groups thousands of genes by their similarities of expression levels, has been used for identifying unknown functions of genes. Fuzzy clustering method that is one category of clustering assigns one sample to multiple groups according to their membership degrees.
Han-Saem Park, Sung-Bae Cho
openaire   +1 more source

An unsupervised text mining method for relation extraction from biomedical literature. [PDF]

PLoS ONE, 2014
The wealth of interaction information provided in biomedical articles motivated the implementation of text mining approaches to automatically extract biomedical relations.
Changqin Quan, Meng Wang, Fuji Ren
doaj   +1 more source

EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm

Entropy, 2022
Feature selection (FS) is a vital step in data mining and machine learning, especially for analyzing the data in high-dimensional feature space. Gene expression data usually consist of a few samples characterized by high-dimensional feature space.
Lan Huang, Xuemei Hu, Yan Wang, Yuan Fu
doaj   +1 more source