Results 101 to 110 of about 568,857 (297)
Visualizing dimensionality reduction of systems biology data
One of the challenges in analyzing high-dimensional expression data is the detection of important biological signals. A common approach is to apply a dimension reduction method, such as principal component analysis. Typically, after application of such a
A Hyvaerinen +31 more
core +1 more source
Database designs for microarray data [PDF]
Gene expression microarrays are an essential technology for the emerging discipline of pharmacogenomics, and the ways in which expression data are represented in computers have important implications for the analysis and communication of this new form of biological information.
openaire +2 more sources
Detecting proteins secreted by a single cell while retaining its viability remains challenging. A particles‐in‐particle (PiPs) system made by co‐encapsulating barcoded microparticles (BMPs) with a single cell inside an alginate hydrogel particle is introduced.
Félix Lussier +10 more
wiley +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
Background Tissue Microarrays (TMAs) allow researchers to examine hundreds of small tissue samples on a single glass slide. The information held in a single TMA slide may easily involve Gigabytes of data.
Edgerton Mary E +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
Microarray Data Analysis [PDF]
I met Terry when I was a beginning graduate student in the Department of Statistics at UC Berkeley. The first year is the time when bright-eyed and idealistic graduate students start thinking about what they want to do for the next 30 years of their lives, or at least until they are handed their PhD diploma and a job offer from Wall Street.
openaire +1 more source
A 3D Matrigel‐based droplet microfluidics platform that allows physiologically relevant analysis of single immune‐tumor interactions in solid tumors. By integrating real‐time functional imaging with fluorescence‐activated droplet sorting and RNA sequencing, the system links immune cytotoxic behavior to transcriptomic profiles, providing a scalable ...
Christina Sharkey +6 more
wiley +1 more source
Exploiting the accumulated evidence for gene selection in microarray gene expression data [PDF]
Machine Learning methods have of late made signicant efforts to solving multidisciplinary problems in the field of cancer classification using microarray gene expression data.
Belanche Muñoz, Luis Antonio +1 more
core +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source

