Results 91 to 100 of about 6,254,795 (351)

Tangle-tree duality: in graphs, matroids and beyond

, 2018
We apply a recent duality theorem for tangles in abstract separation systems to derive tangle-type duality theorems for width-parameters in graphs and matroids. We further derive a duality theorem for the existence of clusters in large data sets.
Diestel, Reinhard, Oum, Sang-il
core   +1 more source

On Multifractal Structure in Non-Representational Art [PDF]

, 2005
Multifractal analysis techniques are applied to patterns in several abstract expressionist artworks, paintined by various artists. The analysis is carried out on two distinct types of structures: the physical patterns formed by a specific color (``blobs''
A. L. Yarbus, Arbib, M. A., B. B. Mandelbrot, B. H. Kaye, Bryan Robertson, C A. Pickover, C. C. Dyer, C. Gagnon, D. H. Hubel, D. H. Hubel, D. J. Aks, G. C. Cupchik, J. C. van der Lubbe, J. Foley, J. R. Mureika, J. Spring, K. Falconer, M. A.Arbib, Michael F. Barnsley, P. Grassberger, Peter K. Kaiser, R. C. Gonzalez, R. P. Taylor, R. P. Taylor, R. P. Taylor, R. P. Taylor, T. Avital, T. Tél, T. Vicsek   +28 more
core   +5 more sources

Immunoregulatory mechanisms of the arachidonic acid pathway in cancer

FEBS Letters, EarlyView.
The central role of the arachidonic acid (AA) pathway in anticancer immunity. Enzymes and metabolites of the AA pathway can play both immunosuppressive and immunostimulatory roles in the tumor microenvironment. Therefore, their tailored targeting could be beneficial as a standalone therapy or in combination with current cancer immunotherapy.
Maria Tredicine, Matteo Mucci, Antonio Recchiuti, Domenico Mattoscio   +3 more
wiley   +1 more source

Uniqueness of radiomic features in non‐small cell lung cancer

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley   +1 more source

Two-Higgs-Doublet type-II and -III models and $t\to c h$ at the LHC [PDF]

, 2016
We study the constraints of the generic two-Higgs-doublet model (2HDM) type-III and the impacts of the new Yukawa couplings. For comparisons, we revisit the analysis in the 2HDM type-II. To understand the influence of all involving free parameters and to
Arhrib, A., Benbrik, R., Chen, Chuan-Hung, Gomez-Bock, M., Semlali, S.   +4 more
core   +2 more sources

Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms

FEBS Letters, EarlyView.
Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze, Stéphane Canaan, Alexandre Gouzy, Pierre Santucci   +3 more
wiley   +1 more source

The application of multiple metrics in deformable image registration for target volume delineation of breast tumor bed

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Background and purpose For postoperative breast cancer patients, deformable image registration (DIR) is challenged due to the large deformations and non‐correspondence caused by tumor resection and clip insertion. To deal with it, three metrics (fiducial‐, region‐, and intensity‐based) were jointly used in DIR algorithm for improved accuracy ...
Xin Xie, Yuchun Song, Feng Ye, Hui Yan, Shulian Wang, Xinming Zhao, Jianrong Dai   +6 more
wiley   +1 more source

scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data

Genome Biology
Cell type identification is an indispensable analytical step in single-cell data analyses. To address the high noise stemming from gene expression data, existing computational methods often overlook the biologically meaningful relationships between genes,
Xiyue Cao, Yu-An Huang, Zhu-Hong You, Xuequn Shang, Lun Hu, Peng-Wei Hu, Zhi-An Huang   +6 more
doaj   +1 more source

Cell type-specific epigenetic links to schizophrenia risk in the brain

Genome Biology, 2019
Background The importance of cell type-specific epigenetic variation of non-coding regions in neuropsychiatric disorders is increasingly appreciated, yet data from disease brains are conspicuously lacking.
Isabel Mendizabal, Stefano Berto, Noriyoshi Usui, Kazuya Toriumi, Paramita Chatterjee, Connor Douglas, Iksoo Huh, Hyeonsoo Jeong, Thomas Layman, Carol A. Tamminga, Todd M. Preuss, Genevieve Konopka, Soojin V. Yi   +12 more
doaj   +1 more source

scClassify: sample size estimation and multiscale classification of cells using single and multiple reference

Molecular Systems Biology, 2020
Automated cell type identification is a key computational challenge in single‐cell RNA‐sequencing (scRNA‐seq) data. To capitalise on the large collection of well‐annotated scRNA‐seq datasets, we developed scClassify, a multiscale classification framework
Yingxin Lin, Yue Cao, Hani Jieun Kim, Agus Salim, Terence P Speed, David M Lin, Pengyi Yang, Jean Yee Hwa Yang   +7 more
doaj   +1 more source