Results 111 to 120 of about 2,170,661 (326)

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

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

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

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Evolutionary Mechanism Based Conserved Gene Expression Biclustering Module Analysis for Breast Cancer Genomics

Biomedicines
The identification of significant gene biclusters with particular expression patterns and the elucidation of functionally related genes within gene expression data has become a critical concern due to the vast amount of gene expression data generated by ...
Wei Yuan, Yaming Li, Zhengpan Han, Yu Chen, Jinnan Xie, Jianguo Chen, Zhisheng Bi, Jianing Xi   +7 more
doaj   +1 more source

SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine

, 2017
Traditional medicine typically applies one-size-fits-all treatment for the entire patient population whereas precision medicine develops tailored treatment schemes for different patient subgroups.
Levy, Phillip, Nezhad, Milad Zafar, Sadati, Najibesadat, Yang, Kai, Zhu, Dongxiao   +4 more
core   +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

PICRUSt2: An improved and customizable approach for metagenome inference

bioRxiv, 2019
One major limitation of microbial community marker gene sequencing is that it does not provide direct information on the functional composition of sampled communities.
G. Douglas, Vincent J. Maffei, Jesse R. Zaneveld, S. Yurgel, James R. Brown, Christopher M. Taylor, C. Huttenhower, M. Langille   +7 more
semanticscholar   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source