Results 121 to 130 of about 6,020,045 (311)

Classification of autism spectrum disorder using supervised learning of brain connectivity measures extracted from synchrostates

, 2014
Objective. The paper investigates the presence of autism using the functional brain connectivity measures derived from electro-encephalogram (EEG) of children during face perception tasks. Approach.
Oprescu, Ioana-Anastasia, Das, Saptarshi, Maharatna, Koushik, Sicca, Federico, Jamal, Wasifa, Apicella, Fabio   +5 more
core   +1 more source

A role for eIF5A in translational control of stress‐inducible proteins in multiple myeloma cell lines

Molecular Oncology, EarlyView.
Loss of eIF5A rewires thapsigargin‐mediated endoplasmic reticulum stress responses in multiple myeloma cells by selective translation of mRNA transcripts, consequently dampening thapsigargin‐induced unfolded protein response (UPR) activation and shifting the balance from induction of apoptosis toward cell survival and proliferation.
Demi Both, Ingrid A. M. Derks, Raphaël Vanleyssem, Marine Leclercq, Najla El Hachem, Pierre Close, Eric Eldering, Marco Vincent Haselager   +7 more
wiley   +1 more source

Functional classification of licorice based on COG.

, 2015
Functional classification of licorice based on COG.
Yaling Liu (204231), Meiling Song (827230), Pengfei Zhang (32384), Mei Qing (827231), Junling Hou (109523), Wenquan Wang (116906), Chunsheng Liu (496714)   +6 more
core   +1 more source

Classification of plant species into plant functional types (PFTs).

, 2020
Classification of plant species into plant functional types (PFTs).
Jette Reeg (5967239), Sean McGee (3728689), Florian Jeltsch (820428), Simon Heine (5718920), Christine Mihan (5967242), Thomas G. Preuss (535313)   +5 more
core   +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

DNA binding proteins: outline of functional classification

Biomolecular Concepts, 2011
DNA-binding proteins composed of DNA-binding domains directly affect genomic functions, mainly by performing transcription, DNA replication or DNA repair.
Zheng Zhiming, Wang Ya
doaj   +1 more source

Functional classification of DEGs in young spikes.

, 2016
Functional classification of DEGs in young spikes.
Yu-Mei Jiang (3178533), Xin-Xin Zhu (3178536), Qiao-Yun Li (2327386), Yong-Jing Ni (3178527), Chun-Cai Shen (3178542), Zong-Biao Duan (3178530), Ji-Shan Niu (3178539), Dong-Yan Yu (3178524)   +7 more
core   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Optimal Classification for Functional Data

Statistica Sinica
A central topic in functional data analysis is how to design an optimaldecision rule, based on training samples, to classify a data function. We exploit the optimal classification problem when data functions are Gaussian processes. Sharp nonasymptotic convergence rates for minimax excess mis-classification risk are derived in both settings that data ...
Wang, Shuoyang, Shang, Zuofeng, Cao, Guanqun, Liu, Jun S.   +3 more
openaire   +3 more sources

Spatial functional normal mixed effect approach for curve classification

, 2014
This paper proposes a spatial functional formulation of the normal mixed effect model for the statistical classification of spatially dependent Gaussian curves, in both parametric and state space model frameworks.
ROMANO, Elvira, Ruiz Medina M. D., Espejo R. M.   +2 more
core   +1 more source