Results 241 to 250 of about 7,765,049 (335)
Predicting infected pancreatic necrosis in acute pancreatitis using machine learning models and feature selection. [PDF]
Xin L +9 more
europepmc +1 more source
Maryam Zaffar, Mirza Mumtaz Zahoor, Tayyaba Rehana, Zeeshan Raza, Muhammad Riaz, Muhammad Usman Javeed, Shafqat Maria Aslam, K.S. Savita
openalex +1 more source
KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan +16 more
wiley +1 more source
SHAP based feature selection for machine learning prediction of mycoplasma pneumoniae pneumonia with atelectasis in children. [PDF]
Wang M, Wang T, Zhang L, Li M.
europepmc +1 more source
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu +10 more
wiley +1 more source
On feature selection to disentangle cell type and state transcriptional programs. [PDF]
Wang J, Crowell HL, Robinson MD.
europepmc +1 more source
Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer
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
Consensus-driven feature selection for transparent and robust loan default prediction. [PDF]
Abbas G, Ying Z, Ayoubi M.
europepmc +1 more source

