Results 71 to 80 of about 1,911,756 (319)

Extracting Hidden Information from Knowledge Networks [PDF]

Physical Review Letters, 2001
Physical Review ...
Maslov, Sergei, Zhang, Yi-Cheng
openaire   +3 more sources

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

Molecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande, Marcela de Oliveira Silva, Mariana Bisarro dos Reis, Rodrigo de Oliveira Cavagna, Luciane Sussuchi, Icaro Alves Pinto, Natalia Zampieri Pontes, Rodrigo Sampaio Chiarantano, Flavio Augusto Ferreira da Silva, Pedro de Marchi, Letícia Ferro Leal, Rui M. Reis   +11 more
wiley   +1 more source

Digitalizing Material Knowledge: A Practical Framework for Ontology-Driven Knowledge Graphs in Process Chains

Applied Sciences
This paper proposes a robust methodology for integrating process-specific data and domain expert knowledge into linked knowledge graphs. These graphs utilize an ontology that provides a standardized vocabulary for material science and facilitates the ...
Elena Garcia Trelles, Christoph Schweizer, Akhil Thomas, Philipp von Hartrott, Marina Janka-Ramm   +4 more
doaj   +1 more source

Tumor and germline testing with next generation sequencing in epithelial ovarian cancer: a prospective paired comparison using an 18‐gene panel

Molecular Oncology, EarlyView.
Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard, Cristina Mitric, Melanie Care, Tracy L. Stockley, Raymond H. Kim, Jeanna McCuaig, Blaise Clarke, Laura Ranich, Clare Sheen, Sarah E. Ferguson, Liat Hogen, Taymaa May, Marcus Q. Bernardini   +12 more
wiley   +1 more source

WebPicker: Knowledge Extraction from Web Resources [PDF]

, 2001
We show how information distributed in several web resources and represented in different restricted languages can be extracted from its original sources and transformed into a common knowledge model represented in XML using WebPicker.
Corcho, Oscar, Gómez-Pérez, A.
core   +1 more source

Plasma extrachromosomal circular DNA as a biomarker in EGFR‐targeted therapy of non‐small cell lung cancer

Molecular Oncology, EarlyView.
Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard, Sarmad Mehmood, Eva Boysen Fynboe Ebert, Peter Meldgaard, Anindya Dutta, Boe S. Sorensen   +5 more
wiley   +1 more source

Web Data Extraction, Applications and Techniques: A Survey

, 2014
Web Data Extraction is an important problem that has been studied by means of different scientific tools and in a broad range of applications. Many approaches to extracting data from the Web have been designed to solve specific problems and operate in ad-
Abel, Amalfitano, Balduzzi, Baumgartner, Baumgartner, Baumgartner, Baumgartner, Baumgartner, Baumgartner, Berger, Berthold, Bettencourt, Califf, Catanese, Chang, Chen, Chen, Chen, Collins, Conover, Crandall, Crescenzi, Crescenzi, Dalvi, Dalvi, De Meo, De Meo, Doan, Emilio Ferrara, Ferrara, Ferrara, Ferrara, Ferrara, Ferrara, Flesca, Freitag, Furche, Gatterbauer, Gatterbauer, Giacomo Fiumara, Gjoka, Gkotsis, Gottlob, Gottlob, Hammersley, Han, Hecht, Hsu, Irmak, Khare, Kim, Kinsella, Kleinberg, Kleinberg, Kohlschütter, Kokkoras, Kokkoras, Kokkoras, Krüpl, Kushmerick, Kwak, Laender, Liu, Manning, Masanès, Mathes, Meng, Mislove, Monge, Muslea, Oro, Pan, Pasquale De Meo, Perito, Phan, Plake, Rahm, Rahm, Reis, Robert Baumgartner, Sahuguet, Sarawagi, Schifanella, Selkow, Shi, Soderland, Szomszor, Turmo, Vosecky, Wang, Wang, Weikum, Wilson, Winograd, Yang, Ye, Zafarani, Zanasi, Zhai, Zhang, Zhang   +100 more
core   +1 more source

Survivin and Aurora Kinase A control cell fate decisions during mitosis

Molecular Oncology, EarlyView.
Aurora A interacts with survivin during mitosis and regulates its centromeric role. Loss of Aurora A activity mislocalises survivin, the CPC and BubR1, leading to disruption of the spindle checkpoint and triggering premature mitotic exit, which we refer to as ‘mitotic slippage’.
Hana Abdelkabir, Shalitha Wickrama Arachchige, Sally P. Wheatley   +2 more
wiley   +1 more source

Corrosion Rate Prediction with artificial Neural Network Case: Crude Oil Distillation Overhead Systems [PDF]

Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2006
This paper uses neural network to predict corrosion rate. Corrosion can not modeled easily, because of wide range of causes either known or  unknown.
Mahmood Alborzi, Seyed Amir Reza Abtahi
doaj  

Liquid biopsy epigenetics: establishing a molecular profile based on cell‐free DNA

Molecular Oncology, EarlyView.
Cell‐free DNA (cfDNA) fragments in plasma from cancer patients carry epigenetic signatures reflecting their cells of origin. These epigenetic features include DNA methylation, nucleosome modifications, and variations in fragmentation. This review describes the biological properties of each feature and explores optimal strategies for harnessing cfDNA ...
Christoffer Trier Maansson, Anders Lade Nielsen, Boe Sandahl Sorensen   +2 more
wiley   +1 more source