Results 181 to 190 of about 22,385,248 (304)

Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation. [PDF]

Mol Biomed
Li L, Soriano LD, Kedir WM, Hoch FL, Loke DK.   +4 more
europepmc   +1 more source

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

Molecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang, Hyung Seok Kim, Geum Ok Baek, Moon Gyeong Yoon, Su In Lee, Jee‐Yeong Jeong, Ji Eun Han, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun   +9 more
wiley   +1 more source

A scalable automated framework for multiply-accumulate unit design in high-performance computing applications. [PDF]

Sci Rep
Venkatachalam A, Seerengasamy U, Ponraj AS.   +2 more
europepmc   +1 more source

A Parallelization Strategy for the Time Efficient Analysis of Thousands of LC/MS Runs in High-Performance Computing Environment. [PDF]

J Proteome Res, 2022
van Zalm P, Viodé A, Smolen K, Fatou B, Hayati AN, Schlaffner CN, Levy O, Steen J, Steen H.   +8 more
europepmc   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Evaluating the HPC Performance and Energy-Efficiency of Intel and ARM-based systems with synthetic and bioinformatics workloads

, 2014
The increasing demand for High Performance Computing (HPC) paired with the higher power requirements of the ever-faster systems has led to the search for both performant and more energy-efficient architectures.
PLUGARU, Valentin, PINEL, Frédéric, VARRETTE, Sébastien, BOUVRY, Pascal   +3 more
core  

Ten simple rules for building and maintaining sustainable high-performance computing infrastructure for research in resource-limited settings. [PDF]

PLoS Comput Biol
Galiwango R, Whalen CJ, Kebirungi G, Atwine MT, Kimera R, Ssekagiri A, Kimbowa TW, Lukyamuzi E, Nsubuga M, eLwazi ODSP, Ssentongo L, Mutegeki H, Fonner JM, Wuerthwein F, Berman A, Okalebo LB, McCarthy M, Kramer VS, Quinones M, Cruz P, Hurt D, Giovanni MY, Mulder N, Tartakovsky M, Kayondo J, Jjingo D.   +25 more
europepmc   +1 more source

Accelerating Hyperparameter Tuning in Machine Learning for Alzheimer's Disease With High Performance Computing. [PDF]

Front Artif Intell, 2021
Zhang F, Petersen M, Johnson L, Hall J, O'Bryant SE.   +4 more
europepmc   +1 more source

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

High-Performance Pervasive Computing

, 2012
In the area of next-generation mobile and pervasive grids, this chapter addresses the following issues: 1) mechanisms to express location & context-awareness, 2) uniform mechanisms to express parallel and distributed high-performance and fault-tolerant ...
BERTOLLI, CARLO, MENCAGLI, GABRIELE, VANNESCHI, MARCO   +2 more
core