Results 201 to 210 of about 22,758,545 (367)

MET and NF2 alterations confer primary and early resistance to first‐line alectinib treatment in ALK‐positive non‐small‐cell lung cancer

Molecular Oncology, EarlyView.
Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu, Ning Ding, Xiaobo Xu, Yedan Chen, Yong Zhang, Jingwen Liu, Jiebai Zhou, Hairong Bao, Donghui Zhang, Yijun Song, Yang Shao, Yuanlin Song   +11 more
wiley   +1 more source

Information enhanced model selection for Gaussian graphical model with application to metabolomic data. [PDF]

Biostatistics, 2022
Zhou J, Hoen AG, Mcritchie S, Pathmasiri W, Viles WD, Nguyen QP, Madan JC, Dade E, Karagas MR, Gui J.   +9 more
europepmc   +1 more source

Meta graphical lasso: uncovering hidden interactions among latent mechanisms

Scientific Reports
In complex systems, it’s crucial to uncover latent mechanisms and their context-dependent relationships. This is especially true in medical research, where identifying unknown cancer mechanisms and their impact on phenomena like drug resistance is vital.
Koji Maruhashi, Hisashi Kashima, Satoru Miyano, Heewon Park   +3 more
doaj   +1 more source

Gibbs states of graphical representations of the Potts model with external fields [PDF]

, 2000
Marek Biskup, Christian Borgs, Jennifer Chayes, Roman Kotecký   +3 more
openalex   +1 more source

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

Molecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani, Gilgi Friedlander, Gili Perry, Nora Balint‐Lahat, Shlomit Gilad, Dana Morzaev‐Sulzbach, Anjana Shenoy, Noa Bossel Ben‐Moshe, Anya Pavlovsky, Rinat Bernstein‐Molho, Eytan Domany, Iris Barshack, Tamar Geiger, Bella Kaufman, Einav Nili Gal‐Yam   +14 more
wiley   +1 more source

GRAPHICAL REPRESENTATION OF SOLID-GAS REACTIONS BASED ON UNREACTED CORE MODEL

, 1969
Masaru Ishida, Takashi Shirai
openalex   +2 more sources

Invariant normal models with recursive graphical Markov structure [PDF]

, 2000
Jesper Madsen
openalex   +1 more source

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Prediction and prevention of pandemics via graphical model inference and convex programming. [PDF]

Sci Rep, 2022
Krechetov M, Esmaieeli Sikaroudi AM, Efrat A, Polishchuk V, Chertkov M.   +4 more
europepmc   +1 more source

Bayesian Poisson Models for the Graphical Combination of Dependent Expert Information [PDF]

, 2000
Jim Q. Smith, Álvaro E. Faria
openalex   +1 more source