Results 241 to 250 of about 28,159,239 (344)
Conformal predictive intervals in survival analysis: a resampling approach. [PDF]
Qin J, Piao J, Ning J, Shen Y.
europepmc +1 more source
gwasurvivr: an R package for genome wide survival analysis
Abbas A. Rizvi+7 more
semanticscholar +1 more source
Proteomic and phosphoproteomic analyses were performed on lung adenocarcinoma (LUAD) tumors with EGFR, KRAS, or EML4–ALK alterations and wild‐type cases. Distinct protein expression and phosphorylation patterns were identified, especially in EGFR‐mutated tumors. Key altered pathways included vesicle transport and RNA splicing.
Fanni Bugyi+12 more
wiley +1 more source
Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling. [PDF]
Cai K+5 more
europepmc +1 more source
901-33 Should Age be a Consideration in Mode Selection in Permanent Pacing? A Survival Analysis
Win K. Shen+5 more
openalex +1 more source
Targeting of PTP4A3 overexpression sensitises HGSOC cells towards chemotherapeutic drugs
In HGSOC with normal KRAS expression, high PTP4A3 expression regulates autophagy activation. Conversely, in HGSOC with high KRAS expression, KRAS dictates autophagy control, and PTP4A3 is not required. When high PTP4A3 expression is inhibited, HGSOC cells are preferentially sensitised towards DNA‐damaging agents.
Ana López‐Garza+3 more
wiley +1 more source
Bladder angiosarcoma: a systematic literature review and survival analysis. [PDF]
Silwal A+9 more
europepmc +1 more source
Screening 166 FDA‐approved anticancer drugs identifies the aromatase inhibitor Exemestane as a synergistic partner of PARP inhibitor Olaparib in BRCA‐proficient triple‐negative breast cancer. Exemestane induces ROS‐mediated replication stress, enhancing DNA damage and apoptosis alongside Olaparib.
Nur Aininie Yusoh+5 more
wiley +1 more source
Machine learning for grading prediction and survival analysis in high grade glioma. [PDF]
Li X+9 more
europepmc +1 more source