4,935 research outputs found
Integrative Model-based clustering of microarray methylation and expression data
In many fields, researchers are interested in large and complex biological
processes. Two important examples are gene expression and DNA methylation in
genetics. One key problem is to identify aberrant patterns of these processes
and discover biologically distinct groups. In this article we develop a
model-based method for clustering such data. The basis of our method involves
the construction of a likelihood for any given partition of the subjects. We
introduce cluster specific latent indicators that, along with some standard
assumptions, impose a specific mixture distribution on each cluster. Estimation
is carried out using the EM algorithm. The methods extend naturally to multiple
data types of a similar nature, which leads to an integrated analysis over
multiple data platforms, resulting in higher discriminating power.Comment: Published in at http://dx.doi.org/10.1214/11-AOAS533 the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Adiabatic quantum pumping of a desired ratio of spin current to charge current
We present a prescription for generating pure spin current or spin selective
current, based on adiabatic quantum pumping in a tight-binding model of a one
dimensional conductor. A formula for the instantaneous pumped current is
derived without introducing the scattering matrix. Our calculations indicate
that some pumping cycles produce the maximum value 2 of pumped spin while
others reverse the direction of current as a result of small alterations of the
pumping cycle. We find pumping cycles which produce essentially any ratio of
spin current to charge current.Comment: 8 pages, 7 figures, to be published in PR
Three and Four-Body Interactions in Spin-Based Quantum Computers
In the effort to design and to construct a quantum computer, several leading
proposals make use of spin-based qubits. These designs generally assume that
spins undergo pairwise interactions. We point out that, when several spins are
engaged mutually in pairwise interactions, the quantitative strengths of the
interactions can change and qualitatively new terms can arise in the
Hamiltonian, including four-body interactions. In parameter regimes of
experimental interest, these coherent effects are large enough to interfere
with computation, and may require new error correction or avoidance techniques.Comment: 5 pages incl. 4 figures. To appear in Phys. Rev. Lett. For an
expanded version including detailed calculations see
http://xxx.lanl.gov/abs/cond-mat/030201
Network constraints on learnability of probabilistic motor sequences
Human learners are adept at grasping the complex relationships underlying
incoming sequential input. In the present work, we formalize complex
relationships as graph structures derived from temporal associations in motor
sequences. Next, we explore the extent to which learners are sensitive to key
variations in the topological properties inherent to those graph structures.
Participants performed a probabilistic motor sequence task in which the order
of button presses was determined by the traversal of graphs with modular,
lattice-like, or random organization. Graph nodes each represented a unique
button press and edges represented a transition between button presses. Results
indicate that learning, indexed here by participants' response times, was
strongly mediated by the graph's meso-scale organization, with modular graphs
being associated with shorter response times than random and lattice graphs.
Moreover, variations in a node's number of connections (degree) and a node's
role in mediating long-distance communication (betweenness centrality) impacted
graph learning, even after accounting for level of practice on that node. These
results demonstrate that the graph architecture underlying temporal sequences
of stimuli fundamentally constrains learning, and moreover that tools from
network science provide a valuable framework for assessing how learners encode
complex, temporally structured information.Comment: 29 pages, 4 figure
Adiabatic quantum pumping in an Aharonov-Bohm loop and in a Si-like nanowire: Role of interference in real space and in momentum space
We study the consequences of interference effects on the current generated by
adiabatic quantum pumping in two distinct one-dimensional (1D) lattice model.
The first model contains an Aharonov-Bohm (AB) loop within a tight-binding
chain of lattice sites. The static AB phase is shown to strongly affect
interference between the two arms of the loop, serving as an on-off switch and
regulator for the pumped current. The second model simulates pumping in
semiconductors with indirect band-gaps, by utilizing a tight-binding chain with
next-nearest-neighbor coupling. The model exhibits signatures of interference
between degenerate conduction band states with different Fermi wavevectors.Comment: 7 pages, 7 figure
Anomalous quartic couplings in collisions at the LHeC and the FCC-he
We conducted a study on measuring production and on the sensitivity
limits at Confidence Level on thirteen anomalous couplings obtained by
dimension-8 operators which are related to the anomalous quartic
couplings. We consider the main reaction with the sub-process at
the Large Hadron electron Collider (LHeC) and the Future Circular
Collider-hadron electron (FCC-he). For the LHeC, energies of the beams
are taken to be and 140 GeV and the energy of the beams is taken
to be TeV. For the FCC-he, energies of the beams are taken to
be and 140 GeV and the energy of the beams is taken to be TeV, respectively. It is interesting to notice that the LHeC and the FCC-he
will lead to model-independent limits on the anomalous quartic
couplings which are one order of magnitude stringent than the CMS Collaboration
limits, in addition to being competitive with other limits reported in the
literature.Comment: 28 pages, 10 Figures and 13 Table
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