Results 141 to 150 of about 12,045,326 (363)
The authors analyzed the spatial distributions of gene and metabolite profiles in cervical cancer through spatial transcriptomic and spatially resolved metabolomic techniques. Pivotal genes and metabolites within these cases were then identified and validated.
Lixiu Xu+3 more
wiley +1 more source
The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld+7 more
wiley +1 more source
Informal economy and extractive institutions
The paper aims at assessing the impact of the extractiveness of institutions on the size of the informal economy. After the identification of the variables suitable to proxy the distinct features of institutions, among which their extractiveness, the paper offers a battery of cross-section regressions over two large samples of developed and developing ...
Diego Coletto+2 more
openaire +4 more sources
Crosstalk between gut microbiota and tumor: tumors could cause gut dysbiosis and metabolic imbalance
In this research, we analyzed the relationship between gut microbiota and tumor. We discovered that both subcutaneous and metastatic tumors would alter the composition and metabolic function of gut microbiota. Meanwhile, fecal microbiota transplantation also indicated the anti‐tumor role of the gut microbiota, revealing the crosstalk between tumor and ...
Siyuan Zhang+8 more
wiley +1 more source
Agriculture Named Entity Recognition—Towards FAIR, Reusable Scholarly Contributions in Agriculture
We introduce the Open Research Knowledge Graph Agriculture Named Entity Recognition (the ORKG Agri-NER) corpus and service for contribution-centric scientific entity extraction and classification.
Jennifer D’Souza
doaj +1 more source
An Effective Approach to Biomedical Information Extraction with Limited Training Data [PDF]
Overall, the two main contributions of this work include the application of sentence simplification to association extraction as described above, and the use of distributional semantics for concept extraction. The proposed work on concept extraction amalgamates for the first time two diverse research areas -distributional semantics and information ...
arxiv
This study simultaneously investigated circulating tumor cells (CTCs) and exosomes from small‐cell lung cancer (SCLC) patients. The elevated expression of JUNB and CXCR4 in CTCs was a poor prognostic factor for SCLC patients, whereas exosomal overexpression of these biomarkers revealed a high discrimination ability of patients from healthy individuals,
Dimitrios Papakonstantinou+13 more
wiley +1 more source
Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang+10 more
wiley +1 more source
System for Information Extraction from News Sites
The present paper deals with a system for crawling and content extraction from news sites. The system of web crawlers extracts textual and graphic information and checks for multimedia content availability. A part of the programming code and the database
Tihomir Stefanov
doaj
In this paper, we propose, explain and implement bibliometric data analysis and visualization model in a web environment. We use NLP syntactic grammars for pattern recognition of references used in scholarly publications.
Kristina Kocijan+2 more
doaj +1 more source