Sciweavers

1305 search results - page 76 / 261
» Clustering Genes Using Heterogeneous Data Sources
Sort
View
BMCBI
2010
133views more  BMCBI 2010»
15 years 3 months ago
Translog, a web browser for studying the expression divergence of homologous genes
Background: Increasing amount of data from comparative genomics, and newly developed technologies producing accurate gene expression data facilitate the study of the expression di...
Xianjun Dong, Altuna Akalin, Yogita Sharma, Boris ...
BIBE
2004
IEEE
160views Bioinformatics» more  BIBE 2004»
15 years 6 months ago
A Time Series Analysis of Microarray Data
As the capture and analysis of single-time-point microarray expression data becomes routine, investigators are turning to time-series expression data to investigate complex gene r...
Selnur Erdal, Ozgur Ozturk, David L. Armbruster, H...
IDA
2007
Springer
15 years 2 months ago
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data
: DNA micro-arrays provide thousands of genomic expressions on the same subject. A main issue is then to find the subset of genes whose degeneration is responsible of a certain typ...
Simone Garatti, Sergio Bittanti, Diego Liberati, A...
ESCIENCE
2005
IEEE
15 years 8 months ago
A Grid Environment for Data Integration of Scientific Databases
Effective integration of heterogeneous data sources has been studied as the most pressing challenge in various fields; such as, high energy physics, astronomy, and life sciences. ...
Hideo Matsuda
PR
2006
116views more  PR 2006»
15 years 2 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli