Selected Topics in Time Series Forecasting: Statistical Models vs. Machine Learning. [PDF]
Tjøstheim D.
europepmc +1 more source
Statistical Model for Investigating the Physical Parameters of the Ocean
Robert Shaffer
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C–C chemokine receptor type 9 (CCR9) is an immune checkpoint in pancreatic ductal adenocarcinoma (PDAC). Novel anti‐CCR9 antibody SRB2 was evaluated in combination with cytotoxic chemotherapy in PDAC cells, patient‐derived organoids, patient‐derived xenografts, and humanized mouse models.
Hannah G. McDonald+18 more
wiley +1 more source
Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review. [PDF]
Baeta T+4 more
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Study of the Statistical Model for Molecular Collisions [PDF]
William H. Miller
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Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias+12 more
wiley +1 more source
Identification of plasma protein biomarkers for endometriosis and the development of statistical models for disease diagnosis. [PDF]
Schoeman EM+19 more
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An articulatory model of the tongue based on a statistical analysis [PDF]
Shinji Maeda
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TRIM24 and TRIM28 are androgen receptor (AR) coregulators which exhibit increased expression with cancer progression. Both TRIM24 and TRIM28 combine to influence the response of castrate‐resistant prostate cancer (CRPC) cells to AR inhibitors by mediating AR signalling, regulation of MYC and upregulating VEGF to promote angiogenesis. Castrate‐resistant
Damien A. Leach+8 more
wiley +1 more source
Statistical models versus machine learning approach for competing risks in proctological surgery. [PDF]
Romano L+6 more
europepmc +1 more source