Results 191 to 200 of about 8,124,451 (335)
Computational models for pan-cancer classification based on multi-omics data. [PDF]
Wang J, Zhang J, Dai X, Yan C, Fang C.
europepmc +1 more source
A framework for breast cancer classification using Multi-DCNNs
D. Ragab +4 more
semanticscholar +1 more source
Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon +4 more
wiley +1 more source
LBNet: an optimized lightweight CNN for mammographic breast cancer classification with XAI-based interpretability. [PDF]
Ahmmed J +6 more
europepmc +1 more source
An investigation of XGBoost-based algorithm for breast cancer classification
Xin Yu Liew +2 more
semanticscholar +1 more source
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Effective skin cancer classification by modified and optimized inception-ResNet-V2 model. [PDF]
Umapathi K +8 more
europepmc +1 more source
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source

