Results 61 to 70 of about 215,679 (256)
Sparse algorithm of robust extreme learning machine with l_0-norm
Nantong Daxue xuebao. Ziran kexue ban, 2023 Extreme learning machine(ELM) has shown great potential in machine learning because of its high learning rate and strong generalization performance.
WANG Xiaoxue; WANG Kuaini
doaj +1 more source
Structured Sparsity Promoting Functions [PDF]
Journal of Optimization Theory and Applications, 2019 29 pages, 34 ...
Shen, Lixin +2 more
openaire +3 more sources
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Semi-Sparsity for Smoothing Filters
IEEE Transactions on Image Processing, 2023 Final version but delete the graphic processing ...
Junqing Huang +3 more
openaire +3 more sources
Molecular Oncology, EarlyView.Targeted therapy was evaluated in SHH medulloblastoma using neuroepithelial stem cell (NES) and tumor‐derived NES‐like (tNES) models in 2D monolayers and 3D spheroids. PI3K, AKT, and CDK4/6 inhibitors had minimal effects in NES but markedly reduced viability and growth and induced apoptosis in tNES cells, revealing distinct therapeutic vulnerabilities.
Monika Lukoseviciute +4 more
wiley +1 more source
Sparsity-control ternary weight networks
Neural Networks, 2022 version 1 of SCA; accepted by journal "Neural Networks"; the final version could be a little different from this ...
Xiang Deng, Zhongfei Zhang
openaire +4 more sources
Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer
Molecular Oncology, EarlyView.Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley +1 more source
Remote Sensing, 2016 The segmentation of point clouds is an important aspect of automated processing tasks such as semantic extraction. However, the sparsity and non-uniformity of the point clouds gathered by the popular 3D mobile LiDAR devices pose many challenges for ...
Weimin Wang +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.Metformin mediates mitochondrial quality control in Leber's hereditary optic neuropathy (LHON) fibroblasts carrying mtDNA mutations. At therapeutic levels, metformin activates AMPK signaling to restore mitochondrial dynamics by promoting fusion and restraining fission, while preserving mitochondrial mass, enhancing autophagy/mitophagy and biogenesis ...
Chatnapa Panusatid +3 more
wiley +1 more source