Results 201 to 210 of about 6,795,342 (412)
This archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes."Review of the year's events, goals, and accomplishments ...
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Using Lexical Knowledge in Text Classification
This paper describes several experiments in text classification using WordNet, a rich source of lexical background knowledge available in the public domain.
Text Classification +3 more
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A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source
Warped-Linear Models for Time Series Classification [PDF]
Brijnesh J. Jain
openalex +1 more source
cdc:131061Presentation at the NIOSH Scientific Workshop : Application of the ILO International Classification of Radiographs of Pneumoconioses to Digital Chest Radiographic Images (2008 : Mar 12-13 : Washington ...
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This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Text Classification in Information Retrieval using Winnow
Text classification in Information Retrieval can be done by using a linear classifier. Linear learning algorithms classify documents by learning a linear separator based on the document features.
P Mun, Winnow Text Classification
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Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source
Review of: "EEG-based Emotion Classification using Deep Learning: Approaches, Trends and Bibliometrics" [PDF]
Gaurav Tripathi
openalex +1 more source

