Results 31 to 40 of about 185,542 (303)

Chromosomal microarrays testing in children with developmental disabilities and congenital anomalies

Jornal de Pediatria (Versão em Português), 2015
Objectives: Clinical use of microarray‐based techniques for the analysis of many developmental disorders has emerged during the last decade. Thus, chromosomal microarray has been positioned as a first‐tier test. This study reports the first experience in
Guillermo Lay‐Son, Karena Espinoza, Cecilia Vial, Juan C. Rivera, María L. Guzmán, Gabriela M. Repetto   +5 more
doaj   +3 more sources

Building interpretable fuzzy models for high dimensional data analysis in cancer diagnosis [PDF]

, 2011
Background: Analysing gene expression data from microarray technologies is a very important task in biology and medicine, and particularly in cancer diagnosis.
Vasile Palade, Zhenyu Wang
core   +4 more sources

Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis

Biosensors, 2018
An automatic spot identification method is developed for high throughput surface plasmon resonance imaging (SPRi) analysis. As a combination of video accessing, image enhancement, image processing and parallel processing techniques, the method can ...
Zhiyou Wang, Xiaoqing Huang, Zhiqiang Cheng   +2 more
doaj   +1 more source

Differential Gene Expression of Human Mast cell Activation Reveals Gene profiles of Innate and Adaptive Immunity. [PDF]

, 2007
High-density oligonucleotide microarray is a promising approach for high throughput analysis. It has been extensively used in many areas of biomedical research.
Alirio Jose Melendez, Jayapal J. Manikandan, Peter Natesan Pushparaj, Reghunathan Renji   +3 more
core   +2 more sources

EMAAS: An extensible grid-based Rich Internet Application for microarray data analysis and management

BMC Bioinformatics, 2008
Background Microarray experimentation requires the application of complex analysis methods as well as the use of non-trivial computer technologies to manage the resultant large data sets.
Aitman T, Tomlinson C, Tiwari B, Sherman BT, Saleem A, Mack-Smith J, Krznaric M, Huang Y, Huang DW, Chiba N, Abbott J, Barton G, Darlington J, Game L, Sternberg MJE, Butcher SA   +15 more
doaj   +1 more source

Visualizing Gene Clusters using Neighborhood Graphs in R [PDF]

, 2008
The visualization of cluster solutions in gene expression data analysis gives practitioners an understanding of the cluster structure of their data and makes it easier to interpret the cluster results.
Leisch, Friedrich, Scharl, Theresa
core   +1 more source

The clinical, cytogenetics and molecular characterization of inverted duplication/deletion of chromosome 8p in a boy with mental and motor retardation: Genotype-phenotype correlation in a case report

Egyptian Journal of Medical Human Genetics, 2018
Background: Rearrangements that occur mainly through the non-allelic homologous recombination (NAHR) during maternal meiosis in short arms of chromosome 8 is relatively associated with various clinical spectrum.
Fatma Silan, Romyla Bourouba, Taner Karakaya, Onur Yildiz, Baris Paksoy, Mine Urfali, Ozturk Ozdemir   +6 more
doaj   +1 more source

Can Zipf's law be adapted to normalize microarrays? [PDF]

, 2005
BACKGROUND: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for varying organisms and tissues have shown that the majority of expressed ...
Costello, Christine M, Croucher, Peter JP, Deuschl, Günther, Häsler, Robert, Lu, Tim, Schreiber, Stefan   +5 more
core   +3 more sources

New array approaches to explore single cells genomes

Frontiers in Genetics, 2012
Microarray analysis enables the genome wide detection of copy number variations and the investigation of chromosomal instability. Whereas array techniques have been well established for the analysis of unamplified DNA derived from many cells, it has been
Evelyne eVanneste, Lilach eBittman, Niels eVan der Aa, Thierry eVoet, Joris Robert Vermeesch   +4 more
doaj   +1 more source

Knowledge-based gene expression classification via matrix factorization [PDF]

, 2008
Motivation: Modern machine learning methods based on matrix decomposition techniques, like independent component analysis (ICA) or non-negative matrix factorization (NMF), provide new and efficient analysis tools which are currently explored to analyze ...
A. M. Tomé, Affymetrix, Allison, Baldi, Barnhill, Bolstad, Breiman, Cardoso, Cardoso, Chen, D. Lutter, Diaz-Uriarte, Diaz-Uriarte, Dougherty, Dougherty, Dudoit, E. W. Lang, F. J. Theis, G. Schmitz, Galton, Galton, Golub, Guyon, Hochreiter, Irrizarry, Lee, Li, Liebermeister, Liu, Lutter, M. Stetter, Mangasarian, P. Gómez Vilda, P. Knollmüller, Pearson, Quackenbush, R. Schachtner, Saidi, Schachtner, Schachtner, Schölkopf, Simon, Spang, Talloen, Troyanskaya, Tusher, Wu, Wu   +47 more
core   +3 more sources