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BMCBI
2010
179views more  BMCBI 2010»
13 years 8 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
TNN
2010
147views Management» more  TNN 2010»
13 years 2 months ago
Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks
In this paper we provide theoretical and numerical analysis of a geometric activity flow network model which is aimed at explaining mathematically the scale-free functional graph s...
J. Piersa, Filip Piekniewski, Tomasz Schreiber
SETA
2004
Springer
93views Mathematics» more  SETA 2004»
14 years 1 months ago
Spectral Orbits and Peak-to-Average Power Ratio of Boolean Functions with Respect to the {I, H, N}n Transform
We enumerate the inequivalent self-dual additive codes over GF(4) of blocklength n, thereby extending the sequence A090899 in The On-Line Encyclopedia of Integer Sequences from n =...
Lars Eirik Danielsen, Matthew G. Parker
ISCAS
2008
IEEE
129views Hardware» more  ISCAS 2008»
14 years 2 months ago
Physical unclonable function with tristate buffers
— The lack of robust tamper-proofing techniques in security applications has provided attackers the ability to virtually circumvent mathematically strong cryptographic primitive...
Erdinç Öztürk, Ghaith Hammouri, B...
JMIV
2010
98views more  JMIV 2010»
13 years 6 months ago
Expectations of Random Sets and Their Boundaries Using Oriented Distance Functions
Shape estimation and object reconstruction are common problems in image analysis. Mathematically, viewing objects in the image plane as random sets reduces the problem of shape es...
Hanna K. Jankowski, Larissa I. Stanberry