Results 21 to 30 of about 85,104 (210)

Comprehensive Profiling of N6‐methyladnosine (m6A) Readouts Reveals Novel m6A Readers That Regulate Human Embryonic Stem Cell Differentiation

open access: yesAdvanced Science, EarlyView.
This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang   +11 more
wiley   +1 more source

Human Atlas of Tooth Decay Progression: Identification of Cellular Mechanisms Driving the Switch from Dental Pulp Repair Toward Irreversible Pulpitis

open access: yesAdvanced Science, EarlyView.
Tooth decay progression transforms the dental pulp response from repair to fibrosis. At early stages, stromal cells reprogram to repair the extra cellular matrix (ECM), blood vessels, and nerves, remodel and grow, keeping repair possible. In advanced decay, hypoxia, and vessel regression, in complement with an immune switch, fuel nerve degeneration and
Hoang Thai Ha   +12 more
wiley   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

Studi Analisis Metode-metode Parsing Dan Interpretasi Semantik Pada Natural Language Processing [PDF]

open access: yes, 2001
Three main processes in Natural Language Processing are syntax analysis or parsing, semantic interpretation and contextual interpretation. This paper discuss about the first and the second of these processes.
Suciadi, J. (James)
core   +1 more source

Aberrant Splicing Signatures Underpin Oligodendrocyte Damage in ALS and Neuron Loss in FTD

open access: yesAdvanced Science, EarlyView.
Integrating bulk and single‐nucleus RNA‐seq from ALS and FTD patients, we revealed distinct cellular dysfunctions, with severe oligodendrocyte damage in ALS and pronounced neuron loss in FTD. We identified cell‐type‐specific aberrant splicing events as potential biomarkers with robust classification performance, some of which produce de novo peptides ...
Chen Du   +6 more
wiley   +1 more source

Systems of Sequential Grammars Applied to Parsing [PDF]

open access: yes, 2014
Tato práce zkoumá Gramatické systémy jako potenciálně silnější nástroj pro syntaktickou analýzu, nežli obyčejné gramatiky. Hlavním záměrem je aplikace teoretických modelů do praxe, vytvoření syntaktického analyzátoru.
Repík, Tomáš
core  

The Microbiota Shapes Central Nervous System Myelination in Early Life

open access: yesAdvanced Science, EarlyView.
Gut microbiota shapes brain development by regulating myelination and glial cell maturation in early life. Using germ‐free (GF) mice and zebrafish, this study reveals sex‐ and age‐dependent effects on myelin growth, integrity, and related gene expression.
Caoimhe M. K. Lynch   +13 more
wiley   +1 more source

High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images [PDF]

open access: yes, 2012
International audienceWe address the problem of parsing images of building facades. The goal is to segment images, assigning to the resulting regions semantic labels that correspond to the basic architectural elements.
Koziński, Mateusz   +3 more
core   +2 more sources

Effective Inference for Generative Neural Parsing

open access: yes, 2017
Generative neural models have recently achieved state-of-the-art results for constituency parsing. However, without a feasible search procedure, their use has so far been limited to reranking the output of external parsers in which decoding is more ...
Fried, Daniel   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy