Results 181 to 190 of about 8,492,854 (308)

APOBEC3 activity and DNA polymerase‐ε deficiency are associated with distinct IDH1 R132 hotspot mutations

Molecular Oncology, EarlyView.
Isocitrate dehydrogenase 1 (IDH1) mutations are highly recurrent in multiple human cancer types, including cholangiocarcinoma and glioma. IDH1 R132C is the most common IDH1 mutation in cholangiocarcinoma and likely arises from APOBEC3A‐ or APOBEC3B‐mediated deamination.
Kelly E. Butler, Bilal A. Lone, Ecem Unal, A. Rouf Banday   +3 more
wiley   +1 more source

The latent structure of ICD-11 Prolonged Grief: Replicated factor mixture models in two national cohorts. [PDF]

PLOS Ment Health
Cunningham J, Shevlin M, McElroy E.
europepmc   +1 more source

p190A/ARHGAP35 and p190B/ARHGAP5 proteins in endometrial cancer: a novel cancer‐relevant paralog interplay

Molecular Oncology, EarlyView.
This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault, Capucine Heraud, Mélissa Correia de Oliveira, Véronique Neaud, Valérie Valesco, Valérie Prouzet‐Mauleon, Béatrice Turcq, Jean‐William Dupuy, Anne‐Aurélie Raymond, Sabrina Croce, Frédéric Saltel, Valérie Lagrée, Violaine Moreau   +12 more
wiley   +1 more source

Activity Recognition from Daily-Life Sounds Using Unsupervised Learning with Dirichlet Multinomial Mixture Models. [PDF]

Sensors (Basel)
Sadohara K, Miyata N.
europepmc   +1 more source

The D-optimal design of blocked and split-plot experiments with mixture components. [PDF]

So far, the optimal design of blocked and split-plot experiments involving mixture components has received scant attention. In this paper, an easy method to construct efficient blocked mixture experiments in the presence of fixed and/or random blocks is ...
Goos, Peter, Donev, AN
core  

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

Molecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu, Yubei He, Nikolaus Berndt, Michael Mülleder, Kathrin Textoris‐Taube, Jing Guo, Matthias Stechele, Justus Ramtke, Shraga Nahum Goldberg, Lynn Jeanette Savic   +9 more
wiley   +1 more source

A novel simulation tool for low-coverage whole-genome sequencing using multivariate Gaussian mixture models. [PDF]

BMC Bioinformatics
Chen KY, Chen SF, Dias R, Torkamani A.
europepmc   +1 more source

Incremental Learning of Temporally-Coherent

, 2005
In this paper we address the problem of learning Gaussian Mixture Models (GMMs) incrementally. Unlike previous approaches which universally assume that new data comes in blocks representable by GMMs which are then merged with the current model ...
Roberto Cipolla, Ognjen Arandjelović, Gaussian Mixture Models   +2 more
core  

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

Molecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim, Aurelie Genoux, Nadiia Zubchuk, Haoyang Zheng, Perla Salameh, Theo Ziegelmeyer, Fabien Dalonneau, Margot Rouchette, Christiane Oddou, Simona Miron, Helene Polveche, Adiilah Mamode Cassim, Carmen Garrido, Eleni Nikolakaki, Didier Auboeuf, Tao Jia, Sophie Zinn‐Justin, Beatrice Eymin   +17 more
wiley   +1 more source

Physical activity phenotypes in endometriosis using unsupervised learning via functional mixture models. [PDF]

BMC Womens Health
Tricoche BT, Caceres BA, Shaw LJ, Garber CE, Konigorski S, Kolli S, Fuchs TJ, Ensari I.   +7 more
europepmc   +1 more source