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» Tumor cell identification using features rules
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BMCBI
2007
97views more  BMCBI 2007»
13 years 6 months ago
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets
Background: Array comparative genome hybridization (aCGH) provides information about genomic aberrations. Alterations in the DNA copy number may cause the cell to malfunction, lea...
Carmen Lai, Hugo M. Horlings, Marc J. van de Vijve...
BMCBI
2007
207views more  BMCBI 2007»
13 years 6 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
IPMI
2005
Springer
13 years 11 months ago
Imaging Tumor Microenvironment with Ultrasound
Abstract. Recent advances in molecular biology are providing new opportunities for breast cancer imaging. Our approach uses ultrasound to image viscoelastic features of tumors. The...
Mallika Sridhar, Michael F. Insana
ICASSP
2011
IEEE
12 years 10 months ago
A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution
In this paper we model and simulate a biological system describing the evolution of cancer stem cells into tumors. Starting from some basic hypotheses about the behavior of these ...
Mónica F. Bugallo, Shishir Dash, Galina Bot...
BMCBI
2004
117views more  BMCBI 2004»
13 years 6 months ago
Cancer characterization and feature set extraction by discriminative margin clustering
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...