Results 171 to 180 of about 1,610,469 (333)

Tumor mutational burden as a determinant of metastatic dissemination patterns

Molecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal, Andrea Moreno‐Manuel, Miguel Salvadó‐Pertierra, Cristina Santos‐Vivas, Rebeca Sanz‐Pamplona   +4 more
wiley   +1 more source

Enabling scalable single-cell transcriptomic analysis through distributed computing with Apache spark. [PDF]

Sci Rep
Adil A, Bhattacharya N, Aadam, Khan NJ, Asger M.   +4 more
europepmc   +1 more source

Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer

Molecular Oncology, EarlyView.
PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta, Yang Song, Madeleine Ndahayo, Anirudh Saxena, Theresa Guo, Dylan Z. Kelley, Jessica Gore, Andrew Hennigan, Alexa Anderson, John C. Papadimitriou, Daria A. Gaykalova   +10 more
wiley   +1 more source

Development of a Low-Cost Distributed Computing Pipeline for High-Throughput Cotton Phenotyping. [PDF]

Sensors (Basel)
Thesma V, Rains GC, Mohammadpour Velni J.   +2 more
europepmc   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
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

DECENTRALIZED QUANTUM COMPILATION FRAMEWORK: EMPOWERING DISTRIBUTED QUANTUM COMPUTING THROUGH MODULARITY

K Aswin
openalex   +2 more sources

On the simulation of protein folding by short time scale molecular dynamics and distributed computing

, 2002
Alan R. Fersht
openalex   +1 more source

Microfluidic electro‐viscoelastic manipulation of extracellular vesicles

FEBS Open Bio, EarlyView.
The electro‐viscoelastic manipulation as a potential method for separation of particles based on size. The particles introduced as a sheath flow migrate to the channel center under the influence of simultaneously applied electric field and pressure driven flow.
Seyedamirhosein Abdorahimzadeh, Éva Bozó, Zikrullah Bölükkaya, Artem Zhyvolozhnyi, Anatoliy Samoylenko, Henrikki Liimatainen, Seppo J. Vainio, Caglar Elbuken   +7 more
wiley   +1 more source

DistSNE: Distributed computing and online visualization of DNA methylation-based central nervous system tumor classification. [PDF]

Brain Pathol
Schmid K, Sehring J, Németh A, Harter PN, Weber KJ, Vengadeswaran A, Storf H, Seidemann C, Karki K, Fischer P, Dohmen H, Selignow C, von Deimling A, Grau S, Schröder U, Plate KH, Stein M, Uhl E, Acker T, Amsel D.   +19 more
europepmc   +1 more source

Distributed Computing – Grid Computing: Self-Organising Grid Resource Management [PDF]

, 2006
Lazarevic, A.
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