Modeling and simulation of genetic regulatory systems: a literature review
H De Jong - Journal of computational biology, 2002 - liebertpub.com
In order to understand the functioning of organisms on the molecular level, we need to know
which genes are expressed, when and where in the organism, and to which extent. The …
which genes are expressed, when and where in the organism, and to which extent. The …
The use and analysis of microarray data
A Butte - Nature reviews drug discovery, 2002 - nature.com
Functional genomics is the study of gene function through the parallel expression
measurements of genomes, most commonly using the technologies of microarrays and …
measurements of genomes, most commonly using the technologies of microarrays and …
[图书][B] Learning with kernels: support vector machines, regularization, optimization, and beyond
B Schölkopf, AJ Smola - 2002 - books.google.com
A comprehensive introduction to Support Vector Machines and related kernel methods. In
the 1990s, a new type of learning algorithm was developed, based on results from statistical …
the 1990s, a new type of learning algorithm was developed, based on results from statistical …
Gene selection for cancer classification using support vector machines
DNA micro-arrays now permit scientists to screen thousands of genes simultaneously and
determine whether those genes are active, hyperactive or silent in normal or cancerous …
determine whether those genes are active, hyperactive or silent in normal or cancerous …
Model-based clustering, discriminant analysis, and density estimation
C Fraley, AE Raftery - Journal of the American statistical …, 2002 - Taylor & Francis
Cluster analysis is the automated search for groups of related observations in a dataset.
Most clustering done in practice is based largely on heuristic but intuitively reasonable …
Most clustering done in practice is based largely on heuristic but intuitively reasonable …
Comparison of discrimination methods for the classification of tumors using gene expression data
A reliable and precise classification of tumors is essential for successful diagnosis and
treatment of cancer. cDNA microarrays and high-density oligonucleotide chips are novel …
treatment of cancer. cDNA microarrays and high-density oligonucleotide chips are novel …
Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning
Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is
curable in less than 50% of patients. Prognostic models based on pre-treatment …
curable in less than 50% of patients. Prognostic models based on pre-treatment …
Genesis: cluster analysis of microarray data
A Sturn, J Quackenbush, Z Trajanoski - Bioinformatics, 2002 - academic.oup.com
A versatile, platform independent and easy to use Java suite for large-scale gene
expression analysis was developed. Genesis integrates various tools for microarray data …
expression analysis was developed. Genesis integrates various tools for microarray data …
Prediction of central nervous system embryonal tumour outcome based on gene expression
SL Pomeroy, P Tamayo, M Gaasenbeek, LM Sturla… - Nature, 2002 - nature.com
Embryonal tumours of the central nervous system (CNS) represent a heterogeneous group
of tumours about which little is known biologically, and whose diagnosis, on the basis of …
of tumours about which little is known biologically, and whose diagnosis, on the basis of …
Selection bias in gene extraction on the basis of microarray gene-expression data
C Ambroise, GJ McLachlan - Proceedings of the national …, 2002 - National Acad Sciences
In the context of cancer diagnosis and treatment, we consider the problem of constructing an
accurate prediction rule on the basis of a relatively small number of tumor tissue samples of …
accurate prediction rule on the basis of a relatively small number of tumor tissue samples of …