منابع مشابه
Inferring multiple graphical structures
Abstract: Gaussian Graphical Models provide a convenient framework for representing dependencies between variables. Recently, this tool has received a high interest for the discovery of biological networks. The literature focuses on the case where a single network is inferred from a set of measurements, but, as wetlab data is typically scarce, several assays, where the experimental conditions a...
متن کاملInferring graphical structures
We consider the problem of inferring the underlying graph using samples from a Markov random field defined on the graph. In particular, we consider the special but interesting case when the underlying graph comes from a distribution on sparse graphs. We provide matching upper and lower bounds for the sample-complexity of learning the underlying graph of a hard-core model, when the underlying gr...
متن کاملModeling Relationships among Multiple Graphical Structures
Many researchers have investigated the social and cognitive processes underlying organizational behavior, with particular interest in understanding the interaction between the social and cognitive dimensions. Because of the widespread use of graphs as models of social and cognitive structures, these studies frequently encounter the problem of analyzing collections of graphical structures. Such ...
متن کاملInferring cellular networks using probabilistic graphical models.
High-throughput genome-wide molecular assays, which probe cellular networks from different perspectives, have become central to molecular biology. Probabilistic graphical models are useful for extracting meaningful biological insights from the resulting data sets. These models provide a concise representation of complex cellular networks by composing simpler submodels. Procedures based on well-...
متن کاملInferring Multiple Regulation Networks
Gaussian Graphical Models provide a convenient framework for representing dependencies between variables. Recently, this tool has received a high interest for the discovery of biological networks. The literature focuses on the case where a single network is inferred from a set of measurements, but, as data is typically scarce, several assays, where the experimental conditions affect interaction...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistics and Computing
سال: 2010
ISSN: 0960-3174,1573-1375
DOI: 10.1007/s11222-010-9191-2