Results 231 to 240 of about 291,376 (305)
H3.1K27M-induced misregulation of the TONSOKU-H3.1 pathway causes genomic instability. [PDF]
Yuan W +10 more
europepmc +1 more source
Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang +5 more
wiley +1 more source
Editorial: Exploring genomic instability of cancers: applications in diagnosis and treatment. [PDF]
Zhang D, Lin SY, Lee M.
europepmc +1 more source
Genomic and molecular landscape of DNA damage repair deficiency across The Cancer Genome Atlas [PDF]
Bailey, Matthew H, Ding, Li, et al,
core +1 more source
In this retrospective cohort of 3487 patients with CRC, history of CCY was associated with significantly worse prognosis in patients with proximal CRC but not in those with distal CRC. This differential prognostic impact showed a statistically significant interaction between tumor location and history of CCY and remained robust after PSM.
Masashi Tsunematsu +9 more
wiley +1 more source
POLE Deficiency Exacerbates Diesel Engine Exhaust-Induced Genomic Instability and Malignant Transformation of Bronchial Epithelial Cells. [PDF]
Zhang P +8 more
europepmc +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Reproductive Isolation due to Divergent Ecological Selection Is Accompanied by Vast Genomic Instability in Experimentally Evolved Yeast Populations. [PDF]
Bendixsen DP +6 more
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source

