DVA: predicting the functional impact of single nucleotide missense variants Dong Wang Jie Li Yadong Wang BMC Bioinformatics (2024) AI-derived comparative assessment of the performance of pathogenicity prediction tools on missense variants of breast cancer genes Rahaf M. Ahmad Bassam R. Ali Mohd...
Similarly, a comparative genomics approach was recently used to develop a “Clinical Indications Prediction” (CLIP) scale based on in vitro TWIST1 expression levels that reveals differences in the biological activity of different donor MSCs. The CLIP scale may have utility for matching the ...
Radiomics signature : a potential biomarker for the prediction of disease-free survival in early-stage (I or II) non—small cell lung Cancer. Radiology. 2016;0:1–11. Google Scholar Breiman LEO. Random forests. Mach Learn. 2001;45:5–32. Article Google Scholar Traverso A, Wee L, ...
Systems built on such models are generally applied for diagnostic applications where the system provides a prediction along with a confidence score [19,20]. Although black-box models generally exhibit higher accuracy, such data-driven models have limited utility due to sparsity of data, such as ...
Impact Factor: 2.5 Citescore: 7.8 All metrics >> The Journal of Clinical Pathology (JCP) offers a mix of innovative academic research and practical clinical advice. As one of the few broad-scope pathology journals, it enables the busy pathologist to keep up with the latest developments in all...
Point Score Risk Prediction Model The point risk score is less complex and more convenient than β coefficients for the general population to understand. We established the predictive point risk score of each exposure factor by substituting the β coefficients in the Cox proportional hazards regression...
The proposed clinical model could be utilized to estimate the HT risk and had excellent prediction efficiency. In this study, the AUC of the clinical model in the external validation was slightly greater than that in the internal validation, demonstrating a stronger capacity for generalization. Previ...
This study aimed to determine the predicting factors for seizure recurrence in ischemic stroke survivors and develop a clinical scoring system for the prediction of risks for seizure recurrence after the first PSSi. Methods We reviewed 3792 ischemic stroke patients from the Ewha Stroke Registry. A ...
Molinaro AM, Simon R, Pfeiffer RM: Prediction error estimation: a comparison of resampling methods. Bioinformatics. 2005, 21: 3301-3307. 10.1093/bioinformatics/bti499. Article CAS PubMed Google Scholar McIntosh M, Anderson G, Drescher C, Hanash S, Urban N, Brown P, Gambhir SS, Coukos G...
(dMMR) for a tumour-agnostic indication. However, although PD-L1 expression has some value for prediction of response to ICIs, it is not consistent across different ICIs and lines of therapy.5,9,10,11Mismatch repair deficiency is associated with clinical benefit in several tumour types,9,12...