Learn More
The transcriptome provides the database from which a cell assembles its collection of proteins. Translation of individual mRNA species into their encoded proteins is regulated, producing discrepancies between mRNA and protein levels. Using a new modeling approach to data analysis, a striking diversity is revealed in association of the transcriptome with the(More)
Recently, the human SRBC (hSRBC) gene, a candidate tumor suppressor gene (TSG), has been mapped to the chromosomal region 11p 15.5--p15.4 where frequent allele loss has been described in lung cancer. Aberrant methylation (referred to as methylation) of the promoter region of TSGs has been identified as an important mechanism for gene silencing. Loss of(More)
The Drosophila tinman homeobox gene has a major role in early mesoderm patterning and determines the formation of visceral mesoderm, heart progenitors, specific somatic muscle precursors and glia-like mesodermal cells. These functions of tinman are reflected in its dynamic pattern of expression, which is characterized by initial widespread expression in the(More)
Complete genome sequences together with high throughput technologies have made comprehensive characterizations of gene expression patterns possible. While genome-wide measurement of mRNA levels was one of the first applications of these advances, other important aspects of gene expression are also amenable to a genomic approach, for example, the translation(More)
Time-course studies with microarray technologies provide enormous potential for exploring underlying mechanisms of biological phenomena in many areas of biomedical research, but the large amount of gene expression data generated by such studies also presents great challenges to data analysis. Here we introduce a regression-based statistical modeling(More)
In this paper, we investigate compressed sensing principles to devise an in-situ data reduction framework for vi-sualization of volumetric datasets. We exploit the universality of the compressed sensing framework and show that the proposed method offers a refinable data reduction approach for volumetric datasets. The accurate reconstruction is obtained from(More)
WtSV40 and its variant EL-SV40 (contains two complementing defective genomes) fail to productively infect human embryonic kidney cells or human fibroblasts. However, early SV40 (E-SV40) genomes can propagate in human cells when complemented by a particular late RF virus (L-RFV) genome or the closely related wtBKV genome. The L-RFV genome (L-RFV clone H)(More)
To my family 3 ACKNOWLEDGMENTS I thank my adviser Dr. José C. Príncipe, for giving me the opportunity and funds to pursue my PhD. I specially thank my committee members, who have been a great inspiration. Dr. Murali Rao, helped me through my first steps in sampling theory. Dr. Entezari formally introduced me to the problems in interpolation, sampling and(More)
We present a variational framework for the reconstruction of irregularly-sampled volumetric data in, nontensor-product, spline spaces. Motivated by the sampling-theoretic advantages of body centered cubic (BCC) lattice, this paper examines the BCC lattice and its associated box spline spaces in a variational setting. We introduce a regularization scheme for(More)
The hanger is a critical part of arch bridges which decides the security of the bridge. The tension of hanger is the major parameter to evaluate the structural behavior during the health monitoring. Besides, the damper which used for reducing the vibration significantly affects the tension of hanger. The flexural rigidity and damping stiffness should be(More)