Results 201 to 210 of about 4,202,897 (320)
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
wiley +1 more source
Analyzing Coarsened and Missing Data by Imputation Methods. [PDF]
van der Burg LLJ +6 more
europepmc +1 more source
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande +11 more
wiley +1 more source
Biomimetic model for computing missing data imputation and inconsistency reduction in pairwise comparisons matrices. [PDF]
Koczkodaj WW +3 more
europepmc +1 more source
Some contributions to probabilistic classification with missing data
Levon Demirdjian
openalex +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
The impact of missing data rates and imputation methods on the assumption of unidimensionality. [PDF]
Baniamer AO.
europepmc +1 more source
Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard +12 more
wiley +1 more source
Impute the missing data by combining retrieved dropouts and return to baseline method. [PDF]
Li X, Yang Z, Yuan C, Liu J, Li Z.
europepmc +1 more source

