Results 111 to 120 of about 568,857 (297)
BackgroundCancer rates are rising rapidly, causing global mortality. According to the World Health Organization (WHO), 9.9 million people died from cancer in 2020. Machine learning (ML) helps identify cancer early, reducing deaths.
Pinakshi Panda +7 more
doaj +1 more source
A-MADMAN: Annotation-based microarray data meta-analysis tool
Background Publicly available datasets of microarray gene expression signals represent an unprecedented opportunity for extracting genomic relevant information and validating biological hypotheses.
Romualdi Chiara +6 more
doaj +1 more source
Nonparametric estimation of genewise variance for microarray data
Estimation of genewise variance arises from two important applications in microarray data analysis: selecting significantly differentially expressed genes and validation tests for normalization of microarray data. We approach the problem by introducing a
Fan, Jianqing, Feng, Yang, Niu, Yue S.
core +1 more source
This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang +4 more
wiley +1 more source
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit +43 more
wiley +1 more source
Background: Ovarian cancer is a difficult and lethal illness that requires early detection and precise classification for effective therapy. Microarray technology has permitted the simultaneous assessment of hundreds of genes’ expression levels, yielding
Zne-Jung Lee +3 more
doaj +1 more source
Tellipsoid: Exploiting inter-gene correlation for improved detection of differential gene expression [PDF]
Motivation: Algorithms for differential analysis of microarray data are vital to modern biomedical research. Their accuracy strongly depends on effective treatment of inter-gene correlation.
Deller, Jr., J. R. +2 more
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CD207+ dendritic cells (DCs) drive emphysema by promoting CD8⁺ T cell cytotoxicity via Birbeck granule‐dependent MHC‐I antigen presentation. This DC subset is expanded by cigarette smoke‐induced oxidative stress, which triggers granulocyte‐macrophage colony‐stimulating factor (GM‐CSF) release from airway epithelium.
Shurui Xuan +10 more
wiley +1 more source
Copula-Based Bayesian Model for Detecting Differential Gene Expression
Deoxyribonucleic acid, more commonly known as DNA, is a fundamental genetic material in all living organisms, containing thousands of genes, but only a subset exhibit differential expression and play a crucial role in diseases.
Prasansha Liyanaarachchi +1 more
doaj +1 more source
Microarray Data Analysis [PDF]
Cieľom tejto bakalárskej práce je popísať technológiu a analýzu komplementárnych DNA čipov. Predstavené sú niektoré algoritmy využívané pri analýze.
Vogel, Ivan
core

