Results 121 to 130 of about 907,938 (379)
Comparison of RNA-Seq and Microarray in Transcriptome Profiling of Activated T Cells
PLoS ONE, 2014 To demonstrate the benefits of RNA-Seq over microarray in transcriptome profiling, both RNA-Seq and microarray analyses were performed on RNA samples from a human T cell activation experiment.
Shanrong Zhao +4 more
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.A miniaturized, label‐free, and enzyme‐free biosensor (miR‐TFT) enables direct electrical detection of microRNA (miRNA) with single‐nucleotide specificity and a detection limit of 0.6 fM. Built on a tri‐channel In2O3/ZnO heterojunction and functionalized with bespoke peptide nucleic acid (PNA) probes, the device is robust, reusable, and compatible with
Wejdan S. Al Ghamdi +5 more
wiley +1 more source
Mfuzz: A software package for soft clustering of microarray data
Bioinformation, 2007 For the analysis of microarray data, clustering techniques are frequently used. Most of such methods are based on hard clustering of data wherein one gene (or sample) is assigned to exactly one cluster.
Lokesh Kumar, Matthias E. Futschik
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.Microscale hydrogels (microgels) feature improved mass transport characteristics supportive of fast actuation and chemical tunability amenable to programmed stimuli response. A unique soft actuator architecture is realized by encapsulating microgels in soft microcirculatory systems which enable the convenient delivery of liquid stimuli for powering and
Nengjian Huang +2 more
wiley +1 more source
Journal of Neuroinflammation, 2011 Background Microglia are the principal cells involved in the innate immune response in the CNS. Activated microglia produce a number of proinflammatory cytokines implicated in neurotoxicity but they also are a major source of anti-inflammatory cytokines,
Tarassishin Leonid +2 more
doaj +1 more source
A comparative study of different strategies of batch effect removal in microarray data: a case study of three datasets [PDF]
, 2013 Batch effects refer to the systematic non-biological variability that is introduced by experimental design and sample processing in microarray experiments.
Ding, Fei
core
Advanced Healthcare Materials, EarlyView.An engineered microtissue model is developed and optimized to investigate human liver development. Extracellular matrix composition and mechanical forces are tuned using high‐throughput assays. Human induced pluripotent stem cells serve as the cellular source, enabling the observation of de novo patterned differentiation.
Ishita Jain +5 more
wiley +1 more source
Elephant Search with Deep Learning for Microarray Data Analysis
, 2017 Even though there is a plethora of research in Microarray gene expression data analysis, still, it poses challenges for researchers to effectively and efficiently analyze the large yet complex expression of genes.
Panda, Mrutyunjaya
core
Transforming Cancer Diagnosis and Therapy Through Fluorescent Hydrogels: A Review
Advanced Healthcare Materials, EarlyView.This article reviews fluorescent hydrogel systems for cancer detection, monitoring, and therapy. Mimicking the tumor microenvironment, these hydrogels enable real‐time imaging and targeted drug delivery. The review discusses design strategies, labeling techniques, and applications, highlighting challenges and future opportunities in cancer diagnostics ...
Elahe Masaeli +2 more
wiley +1 more source
Identification of novel oligodendroglioma‐associated candidate tumor suppressor genes in 1p36 and 19q13 using microarray‐based expression profiling [PDF]
, 2006 Bjoern Tews +10 more
openalex +1 more source