Results 181 to 190 of about 6,969,735 (365)
Breast cancer metastasis is associated with myeloid cell dysregulation and the lung‐specific accumulation of tumor‐supportive Gr1+ cells. Gr1+ cells support metastasis, in part, through a CHI3L1‐mediated mechanism, which can be targeted and inhibited with cargo‐free, polymeric nanoparticles.
Jeffrey A. Ma+9 more
wiley +1 more source
Feature selection for a rich HPSG grammar using decision trees [PDF]
Kristina Toutanova+1 more
openalex +1 more source
Review of Swarm Intelligence-based Feature Selection Methods [PDF]
M. Rostami+2 more
semanticscholar +1 more source
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
Feature Subset Selection by Bayesian network-based optimization
Iñaki Inza+3 more
openalex +1 more source
This nationwide study evaluated KRAS and NRAS mutations in 10 754 Turkish patients with metastatic colorectal cancer. The results revealed a mutation frequency of 51.1%, with 46.6% having KRAS mutations, 4.5% having NRAS mutations, and 48.5% being wild‐type for both.
Gozde Kavgaci+6 more
wiley +1 more source
Feature selection using tabu search method [PDF]
Hongbin Zhang, Guangyu Sun
openalex +1 more source
Landscape of BRAF transcript variants in human cancer
We investigate the annotation of BRAF variants, focusing on protein‐coding BRAF‐220 (formerly BRAF‐reference) and BRAF‐204 (BRAF‐X1). The IsoWorm pipeline allows us to quantify these variants in human cancer, starting from RNA‐sequencing data. BRAF‐204 is more abundant than BRAF‐220 and impacts patient survival.
Maurizio S. Podda+5 more
wiley +1 more source
Feature selection algorithm based on XGBoost
Feature selection in classification has always been an important but difficult problem.This kind of problem requires that feature selection algorithms can not only help classifiers to improve the classification accuracy,but also reduce the redundant ...
Zhanshan LI, Zhaogeng LIU
doaj
Identification of regulatory elements using a feature selection method [PDF]
Sündüz Keleş+2 more
openalex +1 more source