Results 41 to 50 of about 866,589 (294)

Semi-Supervised Kernel PCA [PDF]

, 2010
We present three generalisations of Kernel Principal Components Analysis (KPCA) which incorporate knowledge of the class labels of a subset of the data points.
Christian Walder, Lars Kai Hansen, Mathematical Modelling, Morten Mørup, Ricardo Henao   +4 more
core   +2 more sources

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

Databasing Molecular Neuroimaging [PDF]

, 2004
Molecular neuroimaging Most molecular imaging studies relies on analysis of values from brain regions and report descriptive statistics for these values. There are two significant difficulties when comparing molecular neuroimaging studies: 1.
Finn ˚arup Nielsen, Limbic Lobe, Mathematical Modelling   +2 more
core   +2 more sources

Mathematical Modelling of Optical Coherence Tomography

, 2014
In this chapter a general mathematical model of Optical Coherence Tomography (OCT) is presented on the basis of the electromagnetic theory. OCT produces high resolution images of the inner structure of biological tissues. Images are obtained by measuring
A Knüttel, AF Fercher, AF Fercher, AF Fercher, AF Fercher, AF Fercher, AF Fercher, AG Podoleanu, AT Friberg, BE Bouma, C Xu, D Huang, DJ Smithies, DL Marks, DL Marks, E Hecht, EA Swanson, H Ammari, IV Turchin, JA Izatt, JM Schmitt, JM Schmitt, JM Schmitt, JM Schmitt, L Duan, L Thrane, LS Dolin, M Born, M Kirillin, ME Brezinski, O Bruno, PE Andersen, PH Tomlins, R Potthast, SJ Orfanidis, T Hellmuth, T Hohage, TS Ralston, TS Ralston, W Drexler, Y Feng, Y Pan   +41 more
core   +1 more source

Mathematical modelling of anisotropy in fibrous connective tissue [PDF]

, 1999
We present two modelling frameworks for studying dynamic anistropy in connective tissue, motivated by the problem of fibre alignment in wound healing. The first model is a system of partial differential equations operating on a macroscopic scale. We show
Murray, Murray, Orme, Perumpanani, Tracqui, Perumpanani, Dickinson, Barocas, Ferrenq, Barocas, Veronese, Winfree, Sherratt, Civelekoglu, Suciu, Ermentrout, Mogilner, Stevens, Deutsch, Cook, Chaplain, Olsen, Tranquillo, Olsen, Murray, Dale, Stopak, Trelstad, Guido, Mogilner, Bell, Ryan, Vernon, Welch, Clark, Gillery, Singer, Birk   +37 more
core   +2 more sources

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Quantifying the impact of social groups and vaccination on inequalities in infectious diseases using a mathematical model

BMC Medicine, 2018
Background Social and cultural disparities in infectious disease burden are caused by systematic differences between communities. Some differences have a direct and proportional impact on disease burden, such as health-seeking behaviour and severity of ...
James D. Munday, Albert Jan van Hoek, W. John Edmunds, Katherine E. Atkins   +3 more
doaj   +1 more source

Polynomial superlevel set representation of the multistationarity region of chemical reaction networks

BMC Bioinformatics, 2022
In this paper we introduce a new representation for the multistationarity region of a reaction network, using polynomial superlevel sets. The advantages of using this polynomial superlevel set representation over the already existing representations ...
AmirHosein Sadeghimanesh, Matthew England   +1 more
doaj   +1 more source

The Mathematical description of lactation curves in dairy cattle [PDF]

, 2011
This review gives an overview of the mathematical modelling of lactation curves in dairy cattle. Over the last ninety years, the development of this field of study has followed the main requirements of the dairy cattle industry.
Dimauro, Corrado, Macciotta, Nicolò Pietro Paolo, Pulina, Giuseppe, Rassu, Salvatore Pier Giacomo, Steri, Roberto   +4 more
core   +2 more sources

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

FEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman, Katarzyna Stapor, Leszek Konieczny, Krzysztof Gądek, Piotr Nowakowski   +4 more
wiley   +1 more source