Ask about this productRelated genes to: SORD antibody
- Gene:
- SORD NIH gene
- Name:
- sorbitol dehydrogenase
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 15q21.1
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2016-10-05
Related products to: SORD antibody
Related articles to: SORD antibody
- Developer discussions particularly on programming related questions answering (Q&A) sites, contain useful information, which, if mined and analysed carefully can be transformed into insightful recommendations for developers about which software to use or prefer over others, matching with one's requirements for different software development activities. However, there is a long way to go before such a system can be realized. As a first step in this direction, we empirically explored the developers' discussions on Stack Overflow, one of the most popular Q&A sites among developers, with a particular emphasis on mining software recommendations related insights. We considered the Stack Overflow data dump published in October 2025 containing complete data of the site since 2008. The data extraction process started with the conversion of the gigantic XML files to SQL Server database table records. We then applied a keywords-based filtering approach to identify potential recommendation related queries in questions, and recommendations in answers and comments related to any aspect of software development. The set of keywords comprised of 19 keywords including the term 'recommend' along with its 14 synonyms and 4 antonyms. The extracted dataset contains 73.9k (0.31%) questions containing such terms in the question title, 1.1 M (4.69%) questions containing them in the question body, 2.2 M (6.18%) answers and 1.9 M (2.08%) comments because of exact keyword matching. The results further increase in case of substring matching. When enriched with additional metadata e.g. Users, and (which are available in the Stack Overflow data dump), the raw dataset presented in this paper can become highly useful for the empirical software engineering and machine learning research community for training models and developing recommendation systems for software engineering. The extracted answers and comments can be mined to extract implicit developer preferences from which ratings can be inferred whereas the extracted recommendation related questions with accepted answers can be transformed into a benchmark for retrieval evaluation of software recommendation systems for developers. The dataset is hosted on Figshare using DOI 10.6084/m9.figshare.30948506 and can be accessed via https://doi.org/10.6084/m9.figshare.30948506 or the GitHub repository. - Source: PubMed
Publication date: 2026/05/06
Fatima ArjumandMaqbool Onaiza - To examine literature on cultural competence in audiology services for Deaf adult sign language users, identifying themes, evidence gaps, and systemic barriers to inclusive care. - Source: PubMed
Publication date: 2026/05/11
Hulme CeliaRogers KatherineYoung AlysMunro Kevin J - This study aims to delineate the molecular mechanisms through which aristolochic acid (AA) exposure drives renal cell carcinoma (RCC) pathogenesis, leveraging an integrated machine learning (ML) and multi-omics approach to systematically identify and validate key targets linking AA to RCC development. - Source: PubMed
Publication date: 2026/04/18
Zhang FanHan ShuaiPan DanGao LinaSong Weijie - To develop an assay to measure red blood cell (RBC) sorbitol dehydrogenase (SORD) activity for fast laboratory screening of SORD-related neuropathies, and to provide additional phenotypic arguments in case of ambiguous genetic results. - Source: PubMed
Moro NicholasFrancois StanislasGrondin ChristelBen Salem SirineRajagopal SreekanthAykut DuruArezki LouisaLarramendi José ManuelBerquet ClaireWillems MarjolaineBouchet-Séraphin CélineGauthier Lucas WKonyukh MarinaSvahn JulietteMoutereau StéphanePeoc'h KatellTard CélineFernández-Eulate GorkaStojkovic TanyaBruneel ArnaudRaynor Alexandre - - Source: PubMed
Publication date: 2026/04/16
Taoka ToshiakiIto RintaroIwamoto KunihiroMiyata SeikoNakamichi ReiNakane ToshikiIima MamiFujishiro HiroshigeIkeda MasashiIchikawa KazushigeKamiunten AkifumiIchinose NobuyasuTanaka YoshikiNaganawa Shinji