Results 101 to 110 of about 191,482 (312)

Research on manufacturing quality improvement based on product gene evaluation method and a meta-heuristic algorithm with hybrid encoding scheme

Advances in Mechanical Engineering
Product manufacturing quality is influenced by various factors of the production process, so the key to improve product manufacturing quality is improving the combination of the relevant parameters and processing methods in the manufacturing process ...
Wenxiang Xu, Chao Wang, Shimin Xu, Junyong Liang, Dezheng Liu, Baigang Du   +5 more
doaj   +1 more source

Selection of a suitable reference gene for quantitative gene expression in mouse lymph nodes after vaccination

BMC Research Notes, 2017
Background The quantification of gene expression is an important tool in the evaluation of the immune response to vaccines. Reliable reference genes for gene expression studies in mouse draining lymph nodes after vaccination have not been reported ...
Yung-Yi C. Mosley, Harm HogenEsch
doaj   +1 more source

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

FEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui, Taobo Hu, Thomson Christian Husein, Wai Hei Shek, Bingrong Chen, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan, Mengping Long, Toyotaka Ishibashi   +10 more
wiley   +1 more source

Performance evaluation of different machine learning algorithms in presence of outliers using gene expression data

Journal of Bio-Science, 2019
Classification of samples into one or more populations is one of the main objectives of gene expression data (GED) analysis. Many machine learning algorithms were employed in several studies to perform this task. However, these studies did not consider the outliers problem.
MNH Mollah, SMS Islam, H Akter, MI Asifuzzaman, MM Rashid, M Shahjaman   +5 more
openaire   +2 more sources

Credit Evaluation Based on Gene Expression Programming and Clonal Selection

, 2011
Commercial banks’ credit evaluation and risk management have been one of the main issues in financial fields. As Gene Expression Programming (GEP) has a powerful search capability, a new algorithm for credit evaluation called Clonal-GEP-DDAG is proposed.
Qu Li, Fang, Zhao-lin, Du, Yan-ye, Yan-ye Du, Wang, Wei-hong, Li, Qu, Zhao-lin Fang, Wei-hong Wang   +7 more
core   +1 more source

Inferring causal relations from multivariate time series : a fast method for large-scale gene expression data [PDF]

, 2009
Various multivariate time series analysis techniques have been developed with the aim of inferring causal relations between time series. Previously, these techniques have proved their effectiveness on economic and neurophysiological data, which normally ...
Yuan, Yinyin, Chang-Tsun Li, Yinyin Yuan, Li, Chang-Tsun   +3 more
core   +1 more source

sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters

BMC Bioinformatics, 2017
Background sgnesR (Stochastic Gene Network Expression Simulator in R) is an R package that provides an interface to simulate gene expression data from a given gene network using the stochastic simulation algorithm (SSA).
Shailesh Tripathi, Jason Lloyd-Price, Andre Ribeiro, Olli Yli-Harja, Matthias Dehmer, Frank Emmert-Streib   +5 more
doaj   +1 more source

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

Evaluation of gene value and heuristic function of alternate plans in multi database system using Genetic Algorithm

International Journal of Database Management Systems, 2011
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

Towards a standard benchmark for phenotype-driven variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework

BMC Bioinformatics
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, Vinicius de Souza, Katherina G Cortes, Melissa Haendel, Nomi L Harris, Daniel R Korn, Nikolaos M Marinakis, Nicolas Matentzoglu, James A McLaughlin, Christopher J Mungall, Aaron Odell, David Osumi-Sutherland, Peter N Robinson, Damian Smedley, Julius OB Jacobsen   +14 more
openaire   +5 more sources