User profiles for Bahram Parvin
Bahram ParvinProfessor of Bioengineering, Cell and Molecular Biology, University of Nevada, Reno Verified email at unr.edu Cited by 20731 |
Basal subtype and MAPK/ERK kinase (MEK)-phosphoinositide 3-kinase feedback signaling determine susceptibility of breast cancer cells to MEK inhibition
Specific inhibitors of mitogen-activated protein kinase/extracellular signal-regulated kinase (ERK)
kinase (MEK) have been developed that efficiently inhibit the oncogenic RAF-MEK-…
kinase (MEK) have been developed that efficiently inhibit the oncogenic RAF-MEK-…
Iterative voting for inference of structural saliency and characterization of subcellular events
Saliency is an important perceptual cue that occurs at different levels of resolution. Important
attributes of saliency are symmetry, continuity, and closure. Detection of these attributes is …
attributes of saliency are symmetry, continuity, and closure. Detection of these attributes is …
Breast fibroblasts modulate early dissemination, tumorigenesis, and metastasis through alteration of extracellular matrix characteristics
…, JT Rabban, AN Karnezis, JA Tjoe, J Marx, B Parvin… - Neoplasia, 2013 - Elsevier
A wealth of evidence has now demonstrated that the microenvironment in which a tumorigenic
cell evolves is as critical to its evolution as the genetic mutations it accrues. However, …
cell evolves is as critical to its evolution as the genetic mutations it accrues. However, …
CD36 repression activates a multicellular stromal program shared by high mammographic density and tumor tissues
Although high mammographic density is considered one of the strongest risk factors for
invasive breast cancer, the genes involved in modulating this clinical feature are unknown. …
invasive breast cancer, the genes involved in modulating this clinical feature are unknown. …
Imaging features that discriminate between foci induced by high-and low-LET radiation in human fibroblasts
…, S Ravani, R Romano, B Parvin… - Radiation …, 2006 - meridian.allenpress.com
… Bahram Parvin; Bahram Parvin … Costes, Arnaud Boissière, Shraddha Ravani, Raquel
Romano, Bahram Parvin, Mary Helen Barcellos-Hoff; Imaging Features that Discriminate between …
Romano, Bahram Parvin, Mary Helen Barcellos-Hoff; Imaging Features that Discriminate between …
Automated histology analysis: Opportunities for signal processing
…, JA Ozolek, CA Castro, B Parvin… - IEEE Signal …, 2014 - ieeexplore.ieee.org
Histology is the microscopic inspection of plant or animal tissue. It is a critical component in
diagnostic medicine and a tool for studying the pathogenesis and biology of processes such …
diagnostic medicine and a tool for studying the pathogenesis and biology of processes such …
Classification of histology sections via multispectral convolutional sparse coding
Image-based classification of histology sections plays an important role in predicting clinical
outcomes. However this task is very challenging due to the presence of large technical …
outcomes. However this task is very challenging due to the presence of large technical …
Exon-level microarray analyses identify alternative splicing programs in breast cancer
Protein isoforms produced by alternative splicing (AS) of many genes have been implicated
in several aspects of cancer genesis and progression. These observations motivated a …
in several aspects of cancer genesis and progression. These observations motivated a …
Invariant delineation of nuclear architecture in glioblastoma multiforme for clinical and molecular association
Automated analysis of whole mount tissue sections can provide insights into tumor subtypes
and the underlying molecular basis of neoplasm. However, since tumor sections are …
and the underlying molecular basis of neoplasm. However, since tumor sections are …
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the
growing amount of unlabeled data poses a big challenge to large-scale semi-supervised …
growing amount of unlabeled data poses a big challenge to large-scale semi-supervised …