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BMCBI
2010
109views more  BMCBI 2010»
15 years 3 months ago
Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
JMLR
2006
80views more  JMLR 2006»
15 years 3 months ago
Using Machine Learning to Guide Architecture Simulation
An essential step in designing a new computer architecture is the careful examination of different design options. It is critical that computer architects have efficient means by ...
Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Cald...
DAC
2005
ACM
16 years 4 months ago
Robust gate sizing by geometric programming
We present an efficient optimization scheme for gate sizing in the presence of process variations. Using a posynomial delay model, the delay constraints are modified to incorporat...
Jaskirat Singh, Vidyasagar Nookala, Zhi-Quan Luo, ...
ASWEC
2006
IEEE
15 years 9 months ago
Derivation of Java Monitors
This paper describes the formalisation of Java thread synchronisation in an extended Owicki-Gries theory, which facilitates the proof of safety and progress properties of multi-th...
Brijesh Dongol
MEMOCODE
2003
IEEE
15 years 8 months ago
Exact Runtime Analysis Using Automata-Based Symbolic Simulation
In this paper, we present a technique for determining tight bounds on the execution time of assembler programs. Thus, our method is independent of the design flow, but takes into...
Tobias Schüle, Klaus Schneider