Functional Data Analysis (FDA) is an increasingly central statistical framework that extends conventional data analysis to observations recorded as functions, curves or shapes. This approach ...
It provides convincing evidence that demographic-specific functional templates improve functional neuroimaging studies that use hyperalignment. This study will be of interest to cognitive ...
Molecular Correlates of Long-Term Response to Bevacizumab in Glioblastoma Recurrent nonkinase domain FGFR VUS variants were collected from the Catalog of Somatic Mutations in Cancer and their ...
Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
Sparse early-stage data limits accurate geological risk assessment, increasing the chance of undetected hazards ahead of the TBM. By integrating borehole-derived information through an observation ...
Assessing the Value of Sequential Next-Generation Sequencing and Multiple Molecular Tumor Board Reviews for Patients With Solid-Tumor Malignancies Neoadjuvant chemotherapy is a key component of ...
AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...
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