Results 71 to 80 of about 187,728 (325)
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero +5 more
wiley +1 more source
Operon information improves gene expression estimation for cDNA microarrays
Background In prokaryotic genomes, genes are organized in operons, and the genes within an operon tend to have similar levels of expression. Because of co-transcription of genes within an operon, borrowing information from other genes within the same ...
Pan Wei +3 more
doaj +1 more source
Techniques for clustering gene expression data [PDF]
Many clustering techniques have been proposed for the analysis of gene expression data obtained from microarray experiments. However, choice of suitable method(s) for a given experimental dataset is not straightforward. Common approaches do not translate
Crane, Martin +3 more
core +3 more sources
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo +2 more
wiley +1 more source
Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays
Background Reproducibility of results can have a significant impact on the acceptance of new technologies in gene expression analysis. With the recent introduction of the so-called next-generation sequencing (NGS) technology and established microarrays ...
Bajgot Mateja +2 more
doaj +1 more source
Assessment of SVM Reliability for Microarray Data Analysis [PDF]
The goal of our research is to provide techniques that can assess and validate the results of SVM-based analysis of microarray data. We present preliminary results of the effect of mislabeled training samples.
Blanzieri, Enrico +2 more
core
A miniaturized drug sensitivity and resistance testing (DSRT) workflow based on the Droplet Microarray (DMA) platform enables functional drug testing using minimal patient‐derived tumor material. By screening nanoliter‐scale droplets containing as few as 300 cells, this approach generates reproducible and tumor‐specific drug response profiles ...
Maryam Salarian +7 more
wiley +1 more source
Robust gene selection methods using weighting schemes for microarray data analysis
Background A common task in microarray data analysis is to identify informative genes that are differentially expressed between two different states. Owing to the high-dimensional nature of microarray data, identification of significant genes has been ...
Suyeon Kang, Jongwoo Song
doaj +1 more source
Application of COMPOCHIP Microarray to Investigate the Bacterial Communities of Different Composts [PDF]
A microarray spotted with 369 different 16S rRNA gene probes specific to microorganisms involved in the degradation process of organic waste during composting was developed. The microarray was tested with pure cultures, and of the 30,258 individual probe-
A Alfreider +54 more
core +1 more source
Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa +3 more
wiley +1 more source

