Results 51 to 60 of about 695,874 (306)

Microarray-based ultra-high resolution discovery of genomic deletion mutations [PDF]

, 2014
BACKGROUND: Oligonucleotide microarray-based comparative genomic hybridization (CGH) offers an attractive possible route for the rapid and cost-effective genome-wide discovery of deletion mutations.
Baban, D., Belfield, E., Brown, C., Gan, X., Harberd, N., Jiang, C., Mithani, A., Mott, R., Ragoussis, J.   +8 more
core   +5 more sources

Coupled Two-Way Clustering Analysis of Gene Microarray Data [PDF]

, 2000
We present a novel coupled two-way clustering approach to gene microarray data analysis. The main idea is to identify subsets of the genes and samples, such that when one of these is used to cluster the other, stable and significant partitions emerge ...
Alizadeh, Alon, Blatt, Blatt, E. Domany, E. Levine, Eisen, G. Getz, Golub, Lander, Perou, Schena, Zhang   +12 more
core   +4 more sources

Autophagy in cancer and protein conformational disorders

FEBS Letters, EarlyView.
Autophagy plays a crucial role in numerous biological processes, including protein and organelle quality control, development, immunity, and metabolism. Hence, dysregulation or mutations in autophagy‐related genes have been implicated in a wide range of human diseases.
Sergio Attanasio
wiley   +1 more source

A statistical framework for the analysis of microarray probe-level data [PDF]

Annals of Applied Statistics 2007, Vol. 1, No. 2, 333-357, 2007
In microarray technology, a number of critical steps are required to convert the raw measurements into the data relied upon by biologists and clinicians. These data manipulations, referred to as preprocessing, influence the quality of the ultimate measurements and studies that rely upon them.
arxiv   +1 more source

Predictive analysis of microarray data [PDF]

, 2014
Microarray gene expression data are analyzed by means of a Bayesian nonparametric model, with emphasis on prediction of future observables, yielding a method for selection of differentially expressed genes and a ...
F., Paulo C. Marques, Pereira, Carlos A. de B.   +1 more
core   +1 more source

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

Molecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi, Jérome Vialaret, Christophe Hirtz, Catherine Alix‐Panabières   +3 more
wiley   +1 more source

Analysis of Microarray Data using Artificial Intelligence Based Techniques [PDF]

Handbook of Research on Computational Intelligence Applications in Bioinformatics, 216-239, 2016, 2015
Microarray is one of the essential technologies used by the biologist to measure genome-wide expression levels of genes in a particular organism under some particular conditions or stimuli. As microarrays technologies have become more prevalent, the challenges of analyzing these data for getting better insight about biological processes have ...
arxiv   +1 more source

Diverse correlation structures in gene expression data and their utility in improving statistical inference

, 2007
It is well known that correlations in microarray data represent a serious nuisance deteriorating the performance of gene selection procedures. This paper is intended to demonstrate that the correlation structure of microarray data provides a rich source ...
Klebanov, Lev, Yakovlev, Andrei
core   +1 more source

Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors

Molecular Oncology, EarlyView.
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi, Janelle‐Cheri Millen, Romela Irene Ramos, Jennifer A. Linehan, Timothy G. Wilson, Dave S. B. Hoon, Matias A. Bustos   +6 more
wiley   +1 more source

Bibliometric analysis of research on gene expression in spinal cord injury

Frontiers in Molecular Neuroscience, 2022
BackgroundSpinal cord injury (SCI) is a severe disease with motor and sensory function being destroyed, which leads to a poor prognosis and a serious financial burden. It is urgent to figure out the molecular and pathological mechanisms of SCI to develop
Siqiao Wang, Siqiao Wang, Siqiao Wang, Weijin Qian, Weijin Qian, Shaofeng Chen, Shuyuan Xian, Minghao Jin, Yifan Liu, Hao Zhang, Hengwei Qin, Xinkun Zhang, Jiwen Zhu, Xi Yue, Chaofeng Shi, Penghui Yan, Runzhi Huang, Runzhi Huang, Runzhi Huang, Zongqiang Huang   +19 more
doaj   +1 more source