Results 211 to 220 of about 1,960,778 (332)

A Multisource Transformer-Guided Graph Representation Learning Framework for circRNA-Disease Association Prediction. [PDF]

ACS Omega
Liang SZ, Wang L, You ZH, Yu CQ.
europepmc   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships. [PDF]

BMC Med Inform Decis Mak
Liu S, Hu W, Wang CC, Zhuo L, Lu X.
europepmc   +1 more source

Robust Cluster Prediction Across Data Types Validates Association of Sex and Therapy Response in GBM [PDF]

David L. Gibbs, Gino Cioffi, Boris Aguilar, Kristin Waite, Edward Pan, Jacob Mandel, Yoshie Umemura, Jingqin Luo, Joshua B. Rubin, David Pot, Jill S. Barnholtz‐Sloan   +10 more
openalex   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

GONNMDA: A Ordered Message Passing GNN Approach for miRNA-Disease Association Prediction. [PDF]

Genes (Basel)
Zeng S, Zhang S, Wang Z, Yang C, Yuan S.
europepmc   +1 more source

Leveraging Association Rules for Better Predictions and Better Explanations [PDF]

Gilles Audemard, Sylvie Coste-Marquis, Pierre Marquis, Mehdi Sabiri, Nicolas Szczepanski   +4 more
openalex   +1 more source

Ensemble Regression Decision Trees-based lncRNA-disease Association Prediction

, 2022
LI Jin REN Shou-peng
openalex   +2 more sources

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

Protein structural domain-disease association prediction based on heterogeneous networks. [PDF]

BMC Genomics
Zhang J, Deng L, Deng L.
europepmc   +1 more source