Results 171 to 180 of about 951,800 (293)
Feature selection for the naive bayesian classifier using decision trees [PDF]
Chotirat Ann Ratanamahatana+1 more
openalex +1 more source
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim+8 more
wiley +1 more source
Primary extranodal diffuse large B‐cell lymphoma: Molecular features, treatment, and prognosis
One‐third of DLBCL arises from extranodal organs and is challenging to manage. Molecular features are critical to elucidate the differences in clinical features, predict the disease prognosis, and improve effective targeted therapeutic strategies. Abstract Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin's lymphoma and ...
Si‐Yuan Chen+3 more
wiley +1 more source
A population spatialization method based on the integration of feature selection and an improved random forest model. [PDF]
Zhao Z+6 more
europepmc +1 more source
Feature selection in categorizing procedural expressions [PDF]
Mineki Takechi+3 more
openalex +1 more source
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka+10 more
wiley +1 more source
Feature selection methods affect the performance of scRNA-seq data integration and querying. [PDF]
Zappia L+9 more
europepmc +1 more source
Improving Phase-Congruency Based Feature Detection through Automatic Scale-Selection [PDF]
Veit U. B. Schenk, Michael Brady
openalex +1 more source
Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu+15 more
wiley +1 more source
Abstract This study uses longitudinal data from the UK Millennium Cohort Study (N = 13,277) to examine the childhood and early adolescence factors that predict weapon involvement in middle adolescence, which in this study is exemplified by having carried or used a weapon.
Aase Villadsen, Emla Fitzsimons
wiley +1 more source