... MINIREVIEW
A study of microRNAs in silico and in vivo: diagnostic and
therapeutic applications in cancer
Scott A. Waldman
1
and Andre Terzic
2
1 Departments of Pharmacology and Experimental ... Missiaglia E, Hagan JP, Falconi M, Capelli
P, Bersani S, Calin GA, Volinia S, Liu CG, Scarpa A
et al. (2006) MicroRNA expression abnormalities in
Applications in ca...
... that microRNA (miRNA) biogenesis
and function are related to the molecular mechanisms of various clinical
diseases. Several methods, including northern blotting and DNA chip anal-
yses, are capable ... miRNA in vivo as well
as for monitoring the therapeutic potential of miRNAs
in cancer.
Bioimaging of microRNA biogenesis
The molecular mechanisms involved in miRNA gen...
... effectiveness than any individual
classifier, especially when sufficient training data
isn’t available.
In contrast to machine learning approaches
that require labeled corpora for training, Lin and
1387
He ... 2005), Vancouver, CA.
Ian H. Witten and Eibe Frank. 1999. Data Mining:
Practical Machine Learning Tools and Techniques
with Java Implementations (The Morgan Kaufmann
Series in D...
... sites, as shown in a recent study
in which evidence obtained in vivo demonstrated repli-
cation stalling by hairpins formed by inverted repeats
in bacteria, yeast and mammalian cells [11]. As a
result, ... initiation of DNA replication in plas-
mids, bacteria, eukaryotic viruses and mammalian cells
[24]. The inverted repeats in introns are able to affect
the alternativ...
... synthe-
sis of D2 and apoCP43 remained similar to those in the WT
strain. We noted that labelling of D1 and apoCP47 were
clearly detectable in 40 min pulses in mf1 and mf2 strains
(Fig. 5B), suggesting ... mf2 and pmf2 cells grown in TAP medium,
data are the mean of two to four independent cultures and SD are indicated; for the other strains only one determination was...
... Introduction
Automatic text categorization is the task of assign-
ing any of a set of predefined categories to a doc-
ument. The prevailing approach is that of super-
vised machine learning, in which an algorithm ... re-
call, and 81.0% F-measure. When the intact key-
words are used as feature input with a boolean fea-
ture value and at least three occurrences in train-...
... testing and sections 1 and 22 as devel-
oping set. We considered all PropBank argu-
ments
6
from Arg0 to Arg9, ArgA and ArgM for
a total of 122,774 and 7,359 arguments in train-
ing and testing ... ex-
ample of a non-linear separable function that
becomes separable in a superlinear space (Cris-
tianini and Shawe-Taylor, 2000).
After it was established that the best k...
... Tom’s Cabin” and “湯姆(pronounced
as Tang-Mu)叔叔的(uncle’s)小屋(cabin)”
Translating by Both
Phonetic Values and
Meaning
The translation would have both a similar
pronunciation and a similar meaning ... corresponding term in
backward translation, especially when the target
language is the root of the translating tree.
In addition, when the original NE appears in
doc...
... entertainment channels and the
internet converge through the advent of technolo-
gies such as broadband access, movies-on-demand,
and streaming video, an increasingly large range of
content is available ... grammar template and any
available corpus training data to build a multimo-
dal understanding model and speech recognition
language model.
The user interacts with the mu...
... Greek
Using Syntactic Parsing
Athina Michou
University of Geneva
Geneva, Switzerland
Athina.Michou@unige.ch
Violeta Seretan
University of Geneva
Geneva, Switzerland
Violeta.Seretan@unige.ch
Abstract
This ... corpora and the syntax-based
detection of word combinations that are likely to
constitute MWEs, and 2) concordance and align-
ment functions supporting the manual creation of...