Results 121 to 130 of about 3,113,449 (308)
Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Exploiting label correlations for multi-label classification [PDF]
, 2011 Multi-label classification is widely used for various applications such as automatic music tagging. Often, multi -label learning is done by transforming into multiple independent binary classification problems.
Li, Cheng-Xian
core +1 more source
Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis
Molecular Oncology, EarlyView.This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht +3 more
wiley +1 more source
Multi-label classification with clustering for image and text categorization
, 2013 This paper explores effective multi-label classification methods for multi-semantic image and text categorization. We perform an experimental study of clustering based multi-label classification (CBMLC) for the target problem.
Atul Sajjanhar (13059588) +1 more
core
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
An Applied Evaluation of Multi-Label Hate Speech Detection for Indonesian Digital Platforms
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)The rapid growth of user-generated content on digital platforms has increased the difficulty of moderating hate-related expressions, particularly in linguistically diverse environments such as Indonesian social media.
Dwija Wisnu Brata +3 more
doaj +1 more source
Multi-label approach for human-face classification
, 2015 Single-label classification models have been widely used for human-face classification. In this paper, we present a multi-label classification approach for human-face classification.
Atul Sajjanhar (13059588) +2 more
core
Functional inference in FunCat through the combination of hierarchical ensembles with data fusion methods [PDF]
, 2010 The multi-label hierarchical prediction of gene functions at genome and ontology-wide level is a central problem in bioinformatics, and raises challenging questions from a machine learning standpoint.
M. Re, N. Cesa-Bianchi, G. Valentini
core +1 more source
Molecular Oncology, EarlyView.Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
Generating functions for multi-labeled trees
Discrete Applied Mathematics, 2013 Multi-labeled trees are a generalization of phylogenetic trees that are used, for example, in the study of gene versus species evolution and as the basis for phylogenetic network construction. Unlike phylogenetic trees, in a leaf-multi-labeled tree it is possible to label more than one leaf by the same element of the underlying label set. In this paper
Éva Czabarka +3 more
openaire +3 more sources