Št. zadetkov: 24
Pregledni znanstveni članek
Oznake:
digitalna PCR;digitalna verižna reakcija s polimerazo;referenčni materiali;UV-spektroskopija;digital PCR;dPCR;reference materials;UV-spectroscopy;
Well-characterized reference materials support harmonization and accuracy when conducting nucleic acid-based tests (such as qPCR); digital PCR (dPCR) can measure the absolute concentration of a specific nucleic acid sequence in a background of non-target sequences, making it ideal for the characteri ...
Leto:
2024
Vir:
Nacionalni inštitut za biologijo (NIB)
Jim F. Huggett,
Alexandra S. Whale,
Ward De Spiegelaere,
Afif M. Abdel Nour,
Young-Kyung Bae,
Vladimír Beneš,
Dan Burke,
Megan Cleveland,
Philippe Corbisier,
Alison S. Devonshire,
Lianhua Dong,
Daniela Drandi,
Carole A. Foy,
Jeremy A. Garson,
Hua-Jun He,
Jan Hellemans,
Mikael Kubista,
Antoon Lievens,
Mike G. Makrigiorgos,
Mojca Milavec,
Reinhold D. Mueller,
Tania Nolan,
Denise M. O'Sullivan,
Michael W. Pfaffl,
Stefan Rödiger,
Erica L. Romsos,
Gregory L. Shipley,
Valérie Taly,
Andreas Untergasser,
Carl T. Wittwer,
Stephen A. Bustin,
Jo Vandesompele
Pregledni znanstveni članek
Oznake:
biokemija;digitalna PCR;dPCR;MIQE;dMIQE;
Digital PCR (dPCR) has developed considerably since the publication of the Minimum Information for Publication of Digital PCR Experiments (dMIQE) guidelines in 2013, with advances in instrumentation, software, applications, and our understanding of its technological potential. Yet these developments ...
Leto:
2020
Vir:
Nacionalni inštitut za biologijo (NIB)
Video in druga učna gradiva
Oznake:
computer science;computer vision;image & video retrieval
We propose interest seam image, an efficient visual synopsis
for video. To extract an interest seam image, a spatiotemporal
energy map is constructed for the target video
shot. Then an optimal seam which encompasses the highest
energy is identified by an efficient dynamic programming
algorithm. The ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
We consider the problem of learning dissimilarities between points via formulations which preserve a specified ordering between points rather than the numerical values of the dissimilarities. Dissimilarity ranking (d-ranking) learns from instances like "A is more similar to B than C is to D" or "The ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
biology;neuroscience;computer science;machine learning;supervised learning
Alzheimer disease (AD) is a neurodegenerative disorder
characterized by progressive impairment of memory and
other cognitive functions. Regression analysis has been
studied to relate neuroimaging measures to cognitive status.
However, whether these measures have further predictive
power to infer a t ...
Leto:
2012
Vir:
videolectures.net
Izvirni znanstveni članek
Oznake:
rak (medicina);jajčniki;diagnostika;zdravljenje;plazmidi;tumorske celice;molekularna biologija;
Leto:
2011
Vir:
dLib.si Digitalna knjižnica Slovenije
Video in druga učna gradiva
Oznake:
computer science;machine learning;unsupervised learning;bayesian learning;dirichlet processes
Proportional data (normalized histograms) have been frequently occurring in various areas, and they could be mathematically abstracted as points residing in a geometric simplex. A proper distance metric on this simplex is of importance in many applications including classification and information re ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mechanism of how the instances determine the bag-labels is different for different application domains, and does not necessar ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;principal component analysis;bayesian learning;dirichlet processes
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, the data components (variables) usually have complicated "correlations" while their total number is huge. Such scenario de ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;semi-supervised learning;active learning
Multi-view learning has become a hot topic during the past few years. In this paper, we first characterize the sample complexity of multi-view active learning. Under the α-expansion assumption, we get an exponential improvement in the sample complexity from usual Õ(1/ε) to Õ(log 1/ε), requiring neit ...
Leto:
2008
Vir:
videolectures.net