Results 61 to 70 of about 2,396,994 (293)

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

Statistical theory of deformation distributions in nuclear spectra

Physical Review C, 2018
The dependence of the nuclear level density on intrinsic deformation is an important input to dynamical nuclear processes such as fission. Auxiliary-field Monte Carlo (AFMC) method is a powerful method for computing nuclear level densities. However, the statistical distribution of intrinsic shapes is not readily accessible due to the formulation of ...
Mustonen, M. T., Gilbreth, C. N., Alhassid, Y., Bertsch, G. F.   +3 more
openaire   +3 more sources

Domain Adaptation for Statistical Classifiers

, 2011
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applications, the "in-domain" test data is drawn from a distribution that is related,
Daume III, H., Marcu, D.
core   +1 more source

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

Molecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau, Leonor Garcia, Hugo Arnold, Antonija Hanžek, Maialen Arrieta, Laurent R Gauthier, Christine Granotier‐Beckers, François D Boussin, Amaury Herbet, Marie Hautière, Valentin Asei‐Ceschino, Clémentin Jacques, Laura Brard, Thomas Harnois, Valérie Coronas, Bruno Constantin, Aurélien Chatelier, Jean Chemin, Serge Urbach, Martial Seveno, Szimonetta Hideg, Chantal Ripoll, Kasandra Aguilar‐Cázarez, Min Zheng, Guo‐Hao Huang, Sheng‐Qing Lv, Lei Zhang, Philippe Rondard, Laurent Prezeau, Jean‐Philippe Pin, Hugues Duffau, Luc Bauchet, Valérie Rigau, Franck Denat, Charles Truillet, Didier Boquet, Jean‐Philippe Hugnot   +36 more
wiley   +1 more source

Extreme Value Theory for Tail-Related Risk Measures [PDF]

Many fields of modern science and engineering have to deal with events which are rare but have significant consequences. Extreme value theory is considered to provide the basis for the statistical modeling of such extremes. The potential of extreme value
Evis Këllezi, Manfred Gilli
core  

Lifetime distributions in the methods of non-equilibrium statistical operator and superstatistics

, 2009
A family of non-equilibrium statistical operators is introduced which differ by the system age distribution over which the quasi-equilibrium (relevant) distribution is averaged.
A.I. Olemskoi, A.Y. Abul-Magd, C. Beck, C. Beck, C. Beck, C. Beck, C. Tsallis, C.W. Gardiner, D.N. Zubarev, D.N. Zubarev, D.N. Zubarev, D.N. Zubarev, D.R. Cox, D.R. Cox, E.T. Jaynes, E.T. Jaynes, E.V. Vakarin, G. Röpke, G. Röpke, G.A. Tsekouras, G.P. Klimov, H. Hasegawa, H. Reinholz, H.A. Kramers, I. Prigogine, J. Hinkel, J. Rau, J.-i. Inoue, J.A. McLennan, J.A. McLennan, J.G. Ramos, J.R. Adams, J.R. Adams, M.A. Leontovich, M.I. Dykman, M.V. Day, N.G. Kampen Van, N.N. Bogoliubov, N.U. Prabhu, P. Talkner, R. Der, R. Der, R. Dewar, R. Landauer, R. Luzzi, R. Luzzi, R.G. Littlejohn, R.L. Stratonovich, R.N. Mantegna, R.S. Maier, S.G. Shpyrko, V. V. Ryazanov, V.B. Bobrov, V.B. Bobrov, V.G. Morozov, V.I. Mel’nikov, V.P. Kalashnikov, V.P. Maslov, V.S. Korolyuk, V.V. Ryazanov, V.V. Ryazanov, V.V. Ryazanov, V.V. Ryazanov, V.V. Ryazanov, V.V. Ryazanov, W. Feller   +65 more
core   +2 more sources

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

Molecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang, Ayesha Alvero, Yi Qin, Mingjin Wang, Alexandra Fox, Yanfeng Li, Michael Millman, Amy Kemper, Gil Mor, Xian Shuang Liu, Michael Chopp, Zheng Gang Zhang, Yi Zhang   +12 more
wiley   +1 more source

Quaternion Statistical Submanifolds and Submersions

Mathematics
This paper aims to develop a general theory of quaternion Kahlerian statistical manifolds and to study quaternion CR-statistical submanifolds in such ambient manifolds.
Aliya Naaz Siddiqui, Fatimah Alghamdi
doaj   +1 more source

A statistical distribution useful in product life-cycle modeling [PDF]

Starting from some recent results presented by Isaic â Maniu and Vodă (2008) regarding the Product Life â Cycle (PLC), we propose here an alternative statistical distribution in order to describe all four phases of a product life span.
Emil PETRESCU
core  

MCMC Learning [PDF]

, 2015
The theory of learning under the uniform distribution is rich and deep, with connections to cryptography, computational complexity, and the analysis of boolean functions to name a few areas.
Kanade, Varun, Mossel, Elchanan
core