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BMCBI
2010
109views more  BMCBI 2010»
15 years 2 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...
137
Voted
ALMOB
2008
69views more  ALMOB 2008»
15 years 2 months ago
Learning from positive examples when the negative class is undetermined- microRNA gene identification
Background: The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We an...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
143
Voted
ML
2010
ACM
141views Machine Learning» more  ML 2010»
15 years 1 months ago
Relational retrieval using a combination of path-constrained random walks
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
Ni Lao, William W. Cohen
IJON
2006
104views more  IJON 2006»
15 years 2 months ago
Kernel methods and the exponential family
The success of Support Vector Machine (SVM) gave rise to the development of a new class of theoretically elegant learning machines which use a central concept of kernels and the a...
Stéphane Canu, Alexander J. Smola
137
Voted
OOPSLA
2005
Springer
15 years 8 months ago
Constructing a metacircular Virtual machine in an exploratory programming environment
Can virtual machine developers benefit from religiously observing the principles more often embraced for exploratory programming? To find out, we are concurrently constructing two...
David Ungar, Adam Spitz, Alex Ausch