Results 51 to 60 of about 4,586 (136)

(Non) Linear Regression Modeling [PDF]

We will study causal relationships of a known form between random variables. Given a model, we distinguish one or more dependent (endogenous) variables Y = (Y1, . . .
Čížek, Pavel
core  

Variable selection via thresholding

Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 207-237, March 2026.
Abstract Variable selection comprises an important step in many modern statistical inference procedures. In the regression setting, when estimators cannot shrink irrelevant signals to zero, covariates without relationships to the response often manifest small but nonzero regression coefficients.
Ka Long Keith Ho, Hien Duy Nguyen
wiley   +1 more source

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

Annals of Clinical and Translational Neurology, Volume 13, Issue 2, Page 296-309, February 2026.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin, Sang Bin Hong, Yong Woo Shin, Inpyeong Hwang, Jaeseong Oh, Jihyeon Choi, Narae Kim, Jangsup Moon, Keun‐Hwa Jung, Kyung‐Il Park, Ki‐Young Jung, Kon Chu, Sang Kun Lee   +12 more
wiley   +1 more source

Machine Learning Assisted Fluorescent Sensor Array for Sensing Applications

Advanced Sensor Research, Volume 5, Issue 2, February 2026.
Chemical analysis is being revolutionized by the combination of the high‐dimensional, multi‐channel signals generated by fluorescent sensor arrays and the powerful data analysis enabled by machine learning. This review covers state‐of‐the‐art studies that use machine learning techniques for the identification and quantification of fluorescent sensor ...
Haobo Guo, Karandeep Grover, Elizabeth J. New   +2 more
wiley   +1 more source

An Anoikis Resistance Phenotype Converged to Immune Dysfunction and Resistance to Immune Checkpoint Blockades in Gastric Cancer

Cancer Innovation, Volume 5, Issue 1, February 2026.
Gastric cancer (GC) has high global incidence and mortality, with most cases diagnosed at advanced stages. Immunotherapy, particularly immune checkpoint blockers (ICBs), has shown promise, but not all patients benefit. This study applied consensus clustering based on anoikis‐related genes (ANRGs) to classify GC into two subclusters.
Xing Cai, Jinru Yang, Fangyuan Zhang, Fuwang Xu, Yuan Fang, Zongbi Yi   +5 more
wiley   +1 more source

A Streamlined Protocol for Developing a Clinicopathological Prediction Model for Patient Survival of Post‐Resection of Pancreatic Cancer

Cancer Medicine, Volume 15, Issue 2, February 2026.
We have identified the spatial distribution of MHC‐I, CD4, CD8, CD19, PAK4, and LC3B using multiplex immunostaining. We then combined the data of multiplex immunostaining with clinical pathological data for the software analysis to create a model that can be used to predict the post‐resection survival of pancreatic cancer patients.
Yi Ma, Eunice Lee, Khashayar Asadi, Mehrdad Nikfarjam, Hong He   +4 more
wiley   +1 more source

Resolving Interpretation Challenges in Machine Learning Feature Selection With an Iterative Approach in Biomedical Pain Data

European Journal of Pain, Volume 30, Issue 2, February 2026.
ABSTRACT Background Machine learning (ML) is increasingly used to analyse pain‐related data, emphasising how well variables classify individuals, that is, training an algorithm to assign people to predefined groups such as high versus low pain sensitivity, rather than focusing on p‐values.
Jörn Lötsch, André Himmelspach, Dario Kringel   +2 more
wiley   +1 more source

Disorder‐specific and transdiagnostic vulnerability to posttraumatic stress symptoms: A machine learning approach

Journal of Traumatic Stress, Volume 39, Issue 1, Page 86-97, February 2026.
Abstract A wide range of biological, cognitive, affective, and behavioral risk factors have been studied in relation to posttraumatic stress disorder. Previous work has often isolated a single risk factor or a small number of risk factors, making it is difficult to know which may be the most important to study or target in interventions.
Robert E. Fite, Johanna Thompson‐Hollands, John F. Buss, Lillian G. Lacy, Lorenzo Lorenzo‐Luaces, Lauren A. Rutter   +5 more
wiley   +1 more source

Sparse least trimmed squares regression. [PDF]

Sparse model estimation is a topic of high importance in modern data analysis due to the increasing availability of data sets with a large number of variables. Another common problem in applied statistics is the presence of outliers in the data.
Alfons, Andreas, Croux, Christophe, Gelper, Sarah   +2 more
core  

Infrared Spectral Descriptors for Reaction Yield Prediction: Toward Redefining Experimental Spaces

Molecular Informatics, Volume 45, Issue 2, February 2026.
Wavenumber‐based IR descriptors improve yield prediction in catalytic reactions by capturing ligand structure and electronics. They outperform one‐hot encoding, RDKit, Mordred, MACCS, Morgan, and density functional theory descriptor, offering a robust tool for guiding ligand selection and optimizing experimental conditions.
Yuya Endo, Hiromasa Kaneko
wiley   +1 more source