Results 91 to 100 of about 1,128,323 (301)
Geometric Inference for General High-Dimensional Linear Inverse Problems
This paper presents a unified geometric framework for the statistical analysis of a general ill-posed linear inverse model which includes as special cases noisy compressed sensing, sign vector recovery, trace regression, orthogonal matrix estimation, and
Cai, T. Tony +2 more
core +1 more source
Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib
WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute +17 more
wiley +1 more source
The Regressinator: A Simulation Tool for Teaching Regression Assumptions and Diagnostics in R
When students learn linear regression, they must learn to use diagnostics to check and improve their models. Model-building is an expert skill requiring the interpretation of diagnostic plots, an understanding of model assumptions, the selection of ...
Alex Reinhart
doaj +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +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
Single-cell RNA sequencing (scRNA-seq) offers new possibilities to infer gene regulation networks (GRN) for biological processes involving a notion of time, such as cell differentiation or cell cycles.
Pierre-Cyril Aubin-Frankowski +1 more
semanticscholar +1 more source
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Chemotherapies such as doxorubicin can have toxic effects on healthy cardiovascular/heart tissue. Following up on a doxorubicin toxicity study in mice without tumors where nitrate water was cardioprotective (lessened toxicity), this study with tumor‐bearing mice undergoing doxorubicin treatment showed no negative effect of nitrate and nitrite on drug ...
Rama D. Yammani +7 more
wiley +1 more source
Saturated hydraulic conductivity is one of the important physical properties of soil in modeling water and solute transport, irrigation management, and drainage issues. Laboratory and field methods for directly measuring this parameter are time-consuming
Mohammad Naderianfar
doaj +1 more source
Automating approximate Bayesian computation by local linear regression
Background In several biological contexts, parameter inference often relies on computationally-intensive techniques. "Approximate Bayesian Computation", or ABC, methods based on summary statistics have become increasingly popular.
Thornton Kevin R
doaj +1 more source

