Results 181 to 190 of about 6,753,811 (352)

The Sickle Cell Disease Ontology: recent development and expansion of the universal sickle cell knowledge representation. [PDF]

Database (Oxford), 2022
Mazandu GK, Hotchkiss J, Nembaware V, Wonkam A, Mulder N.   +4 more
europepmc   +1 more source

A Survey on Temporal Knowledge Graph: Representation Learning and Applications [PDF]

arXiv
Knowledge graphs have garnered significant research attention and are widely used to enhance downstream applications. However, most current studies mainly focus on static knowledge graphs, whose facts do not change with time, and disregard their dynamic evolution over time.
arxiv  

The Role of Notation and Knowledge Representation in the Determination of Programming Strategy: A Framework for Integrating Models of Programming Behavior [PDF]

, 1991
Simon P. Davies
openalex   +1 more source

The roles and applications of extracellular vesicles in cancer

Molecular Oncology, EarlyView.
Extracellular vesicles (EVs) are minute versions of cells limited by a lipid bilayer containing cytoplasm from the cell that releases them, but without a nucleus and thus unable to self‐reproduce. EVs contain multiple molecules (proteins, lipids, glycans, and nucleic acids) they can induce complex responses in cells.
Clotilde Théry, Daniel Louvard
wiley   +1 more source

Knowledge Representation for Multi-Scale Physiology Route Modeling. [PDF]

Front Neuroinform, 2021
Kokash N, de Bono B.
europepmc   +1 more source

VARIETIES OF FORMALISMS FOR KNOWLEDGE REPRESENTATION [PDF]

, 1993
Aaron Sloman
openalex   +1 more source

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation [PDF]

arXiv
Concept recommendation aims to suggest the next concept for learners to study based on their knowledge states and the human knowledge system. While knowledge states can be predicted using knowledge tracing models, previous approaches have not effectively integrated the human knowledge system into the process of designing these educational models.
arxiv  

A concept for a constraint-based representation of functional and geometric design knowledge [PDF]

, 1991
Jan Wolter, Periannan Chandrasekaran
openalex   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source