Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sandeep Sanga"'
Publikováno v:
Molecular Cancer Therapeutics. 18:B070-B070
Preclincal drug testing in oncology research has benefited from the development of thousands of tumors models—both in vitro and in vivo. Within BioDuro laboratories alone, there is a collection of >500 models, including traditional 2D human cell li
Publikováno v:
Cancer Research. 79:2472-2472
Preclincal drug testing in oncology research has benefited from the development of thousands of tumors models—both in vitro and in vivo. Within BioDuro laboratories alone, there is a collection of >500 models, including traditional 2D human cell li
Autor:
J. Kim, Vittorio Cristini, A. D. Broom, Y-L Chuang, Mary E. Edgerton, Paul Macklin, Sandeep Sanga, Giovanna Tomaiuolo
Publikováno v:
Modern Pathology. 22:26-77
Autor:
Xiaoming Zheng, Robert A. Gatenby, Elaine L. Bearer, Sandeep Sanga, Vittorio Cristini, Hermann B. Frieboes
Publikováno v:
NeuroImage. 37:S120-S134
Empirical evidence and theoretical studies suggest that the phenotype, i.e., cellular- and molecular-scale dynamics, including proliferation rate and adhesiveness due to microenvironmental factors and gene expression that govern tumor growth and inva
Autor:
Nirav R. Bhakta, John V. Fahy, Sandeep Sanga, Yuanyuan Xiao, Lydia Hou, Owen D. Solberg, Andrea J. Barczak, Rebecca Barbeau, David J. Erle, Christine P. Nguyen, Prescott G. Woodruff, Joseph R. Arron
Publikováno v:
A33. GENETIC AND EPIGENETIC REGULATION OF LUNG DISEASE.
Publikováno v:
BMC Medical Genomics
BMC Medical Genomics, Vol 2, Iss 1, p 59 (2009)
BMC Medical Genomics, Vol 2, Iss 1, p 59 (2009)
Background Pathway discovery from gene expression data can provide important insight into the relationship between signaling networks and cancer biology. Oncogenic signaling pathways are commonly inferred by comparison with signatures derived from ce
Publikováno v:
CSIE (3)
Gene expression microarray data are highly multidimensional and contain high level of noise. Most of these data involve multiple heterogeneous dynamic patterns depending on disease under study. In addition, possible errors might also be introduced al
Autor:
John Lowengrub, Hermann B. Frieboes, Sandeep Sanga, Steven M. Wise, Xiaongrong Li, Xiaoming Zheng, Paul Macklin, Vittorio Cristini
Publikováno v:
Selected Topics in Cancer Modeling ISBN: 9780817647124
The effects of the interaction between cellularand tumor-scale processes on cancer progression and treatment response remain poorly understood (for instance, the crucial role of the microenvironment in cancer growth and invasion [95, 65, 184, 183, 16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ce01897bd01c54bea06668e9e012893
https://doi.org/10.1007/978-0-8176-4713-1_6
https://doi.org/10.1007/978-0-8176-4713-1_6
Publikováno v:
Nanotechnologies for the Life Sciences
The sections in this article are Introduction RES Avoidance A Statistical Model of Nanovector Surface Coverage Modeling the Forces Mediating Protein Approach and Binding Tumoral Vasculature and Hemodynamics An Invasion Percolation Model of Vasculogen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ad9eb10a82537caef5d5e32e60ac3ea
https://doi.org/10.1002/9783527610419.ntls0036
https://doi.org/10.1002/9783527610419.ntls0036
Autor:
Sandeep Sanga, Ryan Dittamore, Shannon L. Werner, Dena Marrinucci, Jessica Louw, Stephanie B. Greene, Ryon P. Graf, Yipeng Wang, Mark Landers, Adam Jendrisak, Jerry Lee
Publikováno v:
Molecular Cancer Therapeutics. 14:A35-A35
Background: Mostly asymptomatic until late stage, colorectal cancer is driven by the successive accumulation of genetic alterations resulting in genomic instability within subclonal tumor populations. mCRC often progresses as a subclonally diverse mu