Reatment of Primary and Metastatic Breast Cancer by an Armed Replicating Adenoviral Vector PRINCIPAL INVESTIGATOR:

AWARD NUMBER: W81XWH-04-1-0337 TITLE: Secondary lymphoid tissue chemokine as an immunotherapeutic against primary and metastatic breast cancer PRINCIPAL INVESTIGATOR:

Stromal Gene Expression and Function in Primary Breast Tumors that Metastasize to Bone Cancer PRINCIPAL INVESTIGATOR:

Compression of Breast Cancer Images By Principal Component Analysis

The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN  of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most      relevant information of X. These eigenvectors are called principal components [8]. Ass...

Compression of Breast Cancer Images By Principal Component Analysis

The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN  of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most      relevant information of X. These eigenvectors are called principal components [8]. Ass...

Biocompatible, Biodegradable, and Enzymatic-Cleavable MRI Contrast Agents for Early Detection of Bone Metastatic Breast cancer PRINCIPAL INVESTIGATOR:

Award Number: W81XWH-11-1-0307 TITLE: Biocompatible, Biodegradable, and Enzymatic-Cleavable MRI Contrast Agents for Early Detection of Bone Metastatic Breast cancer PRINCIPAL INVESTIGATOR: Xuli Wang, Ph.D. CONTRACTING ORGANIZATION: University of Utah Salt Lake City, Utah 84112-8930 REPORT DATE: April 2013 TYPE OF REPORT: Final PREPARED FOR: U.S. Army Medical Research and Materiel Command Fort D...