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1703 Publications visible to you, out of a total of 1703
Probabilistic photometric redshift estimation in massive digital sky surveys via machine learning

Abstract (Expand)

The problem of photometric redshift estimation is a major subject in astronomy, since the need of estimating distances for a huge number of sources, as required by the data deluge of the recent years. … The ability to estimate redshifts through spectroscopy does not scale with this avalanche of data. Photometric redshifts provide the required redshift estimates at the cost of some precision. The success of several forthcoming missions is highly dependent on the availability of photometric redshifts. The purpose of this thesis is to provide innovative methods for photometric redshift estimation. Two models are proposed. The first is fully-automatized, based on the combination of a convolutional neural network with a mixture density network, to predict probabilistic multimodal redshifts directly from images. The second model is features-based, performing a massive combination of photometric parameters to apply a forward selection in a huge feature space. The proposed models perform very efficiently compared to some of the most common models used in the literature. An important part of the work is dedicated to the correct estimation of the errors and prediction quality. The proposed models are very general and can be applied to different topics in astronomy and beyond.

Author: Antonio D'Isanto

Date Published: 1st Feb 2019

Publication Type: Doctoral Thesis

The HIV-1 ribonucleoprotein dynamically regulates its condensate behavior and drives acceleration of protease activity through membrane-less granular phase-separation

Abstract

Not specified

Authors: Sébastien Lyonnais, S. Kashif Sadiq, Cristina Lorca-Oró, Laure Dufau, Sara Nieto-Marquez, Tuixent Escriba, Natalia Gabrielli, Xiao Tan, Mohamed Ouizougun-Oubari, Josephine Okoronkwo, Michèle Reboud-Ravaux, José Maria Gatell, Roland Marquet, Jean-Christophe Paillart, Andreas Meyerhans, Carine Tisné, Robert J. Gorelick, Gilles Mirambeau

Date Published: 26th Jan 2019

Publication Type: Journal

Structure and dynamics of the platelet integrin-binding C4 domain of von Willebrand factor

Abstract (Expand)

Von Willebrand factor (VWF) is a key player in the regulation of hemostasis by promoting recruitment of platelets to sites of vascular injury. An array of 6 C domains forms the dimeric C-terminal VWF … stem. Upon shear force activation, the stem adopts an open conformation allowing the adhesion of VWF to platelets and the vessel wall. To understand the underlying molecular mechanism and associated functional perturbations in disease-related variants, knowledge of high-resolution structures and dynamics of C domains is of paramount interest. Here, we present the solution structure of the VWF C4 domain, which binds to the platelet integrin and is therefore crucial for the VWF function. In the structure, we observed 5 intra- and inter-subdomain disulfide bridges, of which 1 is unique in the C4 domain. The structure further revealed an unusually hinged 2-subdomain arrangement. The hinge is confined to a very short segment around V2547 connecting the 2 subdomains. Together with 2 nearby inter-subdomain disulfide bridges, this hinge induces slow conformational changes and positional alternations of both subdomains with respect to each other. Furthermore, the structure demonstrates that a clinical gain-of-function VWF variant (Y2561) is more likely to have an effect on the arrangement of the C4 domain with neighboring domains rather than impairing platelet integrin binding.

Authors: Emma-Ruoqi Xu, Sören von Bülow, Po-Chia Chen, Peter J. Lenting, Katra Kolšek, Camilo Aponte-Santamaría, Bernd Simon, Jaelle Foot, Tobias Obser, Reinhard Schneppenheim, Frauke Gräter, Cécile V. Denis, Matthias Wilmanns, Janosch Hennig

Date Published: 24th Jan 2019

Publication Type: Journal

A genetic screen pinpoints ribonucleotide reductase residues that sustain dNTP homeostasis and specifies a highly mutagenic type of dNTP imbalance

Abstract

Not specified

Authors: Tobias T Schmidt, Sushma Sharma, Gloria X Reyes, Kerstin Gries, Maike Gross, Boyu Zhao, Jui-Hung Yuan, Rebecca Wade, Andrei Chabes, Hans Hombauer

Date Published: 10th Jan 2019

Publication Type: Journal

Multi-model combination and seamless prediction

Abstract

Not specified

Author: Stephan Hemri

Date Published: 2019

Publication Type: InCollection

Extraction of Spatial-Temporal Features of Bus Loads in Electric Grids through Clustering in a Dynamic Model Space

Abstract

Not specified

Authors: Wei Zhang, Gang Mu, Chen Song, Gangui Yan, Vincent Heuveline

Date Published: 2019

Publication Type: Journal

Data Management in Computational Systems Biology: Exploring Standards, Tools, Databases, and Packaging Best Practices

Abstract

Not specified

Authors: Natalie J. Stanford, Martin Scharm, Paul D. Dobson, Martin Golebiewski, Michael Hucka, Varun B. Kothamachu, David Nickerson, Stuart Owen, Jürgen Pahle, Ulrike Wittig, Dagmar Waltemath, Carole Goble, Pedro Mendes, Jacky Snoep

Date Published: 2019

Publication Type: InBook

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