Results 221 to 230 of about 3,117,785 (309)
A robust and efficient change point detection method for high-dimensional linear models. [PDF]
Han ZC, Zhang KS, Zhao YY.
europepmc +1 more source
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
Inferring the Timing of Antiretroviral Therapy by Zero-Inflated Random Change Point Models Using Longitudinal Data Subject to Left-Censoring. [PDF]
Zhang H +6 more
europepmc +1 more source
Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni +11 more
wiley +1 more source
Change-point detection of the Kumaraswamy skew-t distribution based on modified information criterion. [PDF]
Wang J, Ning W.
europepmc +1 more source
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Estimation of the jump time in a discrete-time change-point problem
Stoumbos Zachary, G +1 more
core +1 more source
Iterative smoothing for change-point regression function estimation. [PDF]
Thompson JRJ.
europepmc +1 more source
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
Methodological Innovation in Evaluating the Cost-Effectiveness of Simulation Training Combining Transfer Effectiveness and Change-Point Analysis. [PDF]
Jiang Z, Hang H, Wu X, Xiang S, Pan S.
europepmc +1 more source

