Results 61 to 70 of about 3,251,267 (306)
Molecular Oncology, EarlyView.This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu +12 more
wiley +1 more source
Molecular Oncology, EarlyView.This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh +8 more
wiley +1 more source
Improved Penalty Strategies in Linear Regression Models
Revstat Statistical Journal, 2017 We suggest pretest and shrinkage ridge estimation strategies for linear regression models. We investigate the asymptotic properties of suggested estimators.
Bahadır Yüzbaşı +2 more
doaj +1 more source
Approximate cross-validation formula for Bayesian linear regression
, 2016 Cross-validation (CV) is a technique for evaluating the ability of statistical models/learning systems based on a given data set. Despite its wide applicability, the rather heavy computational cost can prevent its use as the system size grows. To resolve
Kabashima, Yoshiyuki +2 more
core +1 more source
Molecular Oncology, EarlyView.The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song +11 more
wiley +1 more source
Molecular Oncology, EarlyView.Trastuzumab‐deruxtecan, a HER2‐targeting antibody‐drug conjugate, shows promising antitumor activity in head and neck squamous cell carcinoma with low HER2 expression. In vitro and in vivo studies demonstrated dose‐dependent cell death and tumor growth reduction in low HER2‐expressing cell lines, which correlated with drug accumulation measured using a
Abdullah Bin Naveed +8 more
wiley +1 more source
OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis
Neuropsychiatric Disease and Treatment, 2012 Kianoush Fathi Vajargah,1 Homayoun Sadeghi-Bazargani,2,3 Robab Mehdizadeh-Esfanjani,4 Daryoush Savadi-Oskouei,4 Mehdi Farhoudi41Department of Statistics, Islamic Azad University, Tehran, North Branch, 2Neuroscience Research Center, Department of ...
Fathi Vajargah K +4 more
doaj
Ellipsoid Method for Linear Regression Parameters Determination
Кібернетика та комп'ютерні технології, 2020 Introduction. Linear regression parameters determination can be formulated as a non-smooth function minimization problem, which is Lp-norm of residual of the linear equations system.
V. Stovba
doaj +1 more source
A nucleotide‐independent, pan‐RAS‐targeted DARPin elicits anti‐tumor activity in a multimodal manner
Molecular Oncology, EarlyView.We report a Designed Ankyrin Repeat Protein that binds and inhibits RAS proteins, which serve as central cell signaling hubs and are essential for the progression of many cancers. Its unique feature is that it does not discriminate between different RAS isoforms or mutations and is capable of binding to RAS in both its active (GTP‐bound) and inactive ...
Jonas N. Kapp +13 more
wiley +1 more source
Methodology and convergence rates for functional linear regression
, 2007 In functional linear regression, the slope ``parameter'' is a function. Therefore, in a nonparametric context, it is determined by an infinite number of unknowns. Its estimation involves solving an ill-posed problem and has points of contact with a range
Hall, Peter, Horowitz, Joel L.
core +2 more sources