Results 181 to 190 of about 951,800 (293)

Efficient Feature Selection and Multiclass Classification with Integrated Instance and Model Based Learning

Evolutionary Bioinformatics, 2012
Halima Bensmail, Ming Tan, Zhenqiu Liu
doaj  

Hyperspectral estimation of chlorophyll content in grapevine based on feature selection and GA-BP. [PDF]

Sci Rep
Li Y, Xu X, Wu W, Zhu Y, Gao L, Jiang X, Meng Y, Yang G, Xue H.   +8 more
europepmc   +1 more source

Grammatical feature selection in noun phrase production: Evidence from German and Dutch [PDF]

, 2003
Niels O. Schiller, Alfonso Caramazza
openalex   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Spillover and crossover effects of exposure to work‐related aggression and adversities: A dyadic diary study

Aggressive Behavior, Volume 49, Issue 1, Page 85-95, January 2023., 2023
Abstract The past two decades have produced extensive evidence on the manifold and severe outcomes for victims of aggression exposure in the workplace. However, due to the dominating individual‐centered approach, most findings miss a social network perspective.
Alexander Herrmann, Jürgen Glaser, Tobias Greitemeyer   +2 more
wiley   +1 more source

Enhancing malware detection with feature selection and scaling techniques using machine learning models. [PDF]

Sci Rep
Hasan R, Biswas B, Samiun M, Saleh MA, Prabha M, Akter J, Joya FH, Abdullah M.   +7 more
europepmc   +1 more source

Vinegar Classification Based on Feature Extraction and Selection From Tin Oxide Gas Sensor Array Data [PDF]

, 2003
Xiaobo Zou, Zhao Jiewen, Wu Shouyi, Huang XingYi   +3 more
openalex   +1 more source

The atypical KRASQ22K mutation directs TGF‐β response towards partial epithelial‐to‐mesenchymal transition in patient‐derived colorectal cancer tumoroids

Molecular Oncology, EarlyView.
TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair, Philip König, Milena Mijović, Jessica Kalla, Anil Baskan, Loan Tran, Kristina Draganić, Pedro Morata Saldaña, Carlos Uziel Pérez Malla, Janette Pfneissl, Andreas Tiefenbacher, Julijan Kabiljo, Velina S. Atanasova, Lisa Wozelka‐Oltjan, Leonhard Müllauer, Michael Bergmann, Raheleh Sheibani‐Tezerji, Gerda Egger   +17 more
wiley   +1 more source

Semi‐supervised classification of fundus images combined with CNN and GCN

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan, Pu Huang, Min Chen, Ting Wang, Xiaolei Sun, Meirong Chen, Xueyuan Dong, Zekun Jiang, Dengwang Li   +8 more
wiley   +1 more source

Crafted experiments to evaluate feature selection methods for single-cell RNA-seq data. [PDF]

NAR Genom Bioinform
Liu S, Corcoran DL, Garcia-Recio S, Marron JS, Perou CM.   +4 more
europepmc   +1 more source