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Full-Text Articles in Medicine and Health Sciences
Libraries At The University Of Massachusetts Amherst: Seeking An International Perspective, Maxine G. Schmidt
Libraries At The University Of Massachusetts Amherst: Seeking An International Perspective, Maxine G. Schmidt
Maxine G Schmidt
Presentation delivered to librarians in China, Japan and South Korea as part of my sabbatical research on the use of libraries by Asian students in their home countries.
Identification And Characterisation Of The Early Differentiating Cells In Neural Differentiation Of Human Embryonic Stem Cells, Thamil Selvee Ramasamy
Identification And Characterisation Of The Early Differentiating Cells In Neural Differentiation Of Human Embryonic Stem Cells, Thamil Selvee Ramasamy
Thamil Selvee Ramasamy
One of the challenges in studying early differentiation of human embryonic stem cells (hESCs) is being able to discriminate the initial differentiated cells from the original pluripotent stem cells and their committed progenies. It remains unclear how a pluripotent stem cell becomes a lineage-specific cell type during early development, and how, or if, pluripotent genes, such as Oct4 and Sox2, play a role in this transition. Here, by studying the dynamic changes in the expression of embryonic surface antigens, we identified the sequential loss of Tra-1-81 and SSEA4 during hESC neural differentiation and isolated a transient Tra-1-81(-)/SSEA4(+) (TR-/S4+) cell population …
Integrative Bayesian Analysis Of High-Dimensional Multi-Platform Genomics Data, Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju C. Manyam, Kim-Anh Do
Integrative Bayesian Analysis Of High-Dimensional Multi-Platform Genomics Data, Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju C. Manyam, Kim-Anh Do
Jeffrey S. Morris
Motivation: Analyzing data from multi-platform genomics experiments combined with patients’ clinical outcomes helps us understand the complex biological processes that characterize a disease, as well as how these processes relate to the development of the disease. Current integration approaches that treat the data are limited in that they do not consider the fundamental biological relationships that exist among the data from platforms.
Statistical Model: We propose an integrative Bayesian analysis of genomics data (iBAG) framework for identifying important genes/biomarkers that are associated with clinical outcome. This framework uses a hierarchical modeling technique to combine the data obtained from multiple platforms …