Results 241 to 250 of about 10,260 (285)

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

FEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

Sequence sort: A new non-dominated sorting algorithm for evolutionary multi-objective optimization. [PDF]

Sci Rep
Yi Y, Chen W, Shi Y.
europepmc   +1 more source

Ultrafast and ultralarge multiple sequence alignments using TWILIGHT. [PDF]

Bioinformatics
Tseng YH, Walia S, Turakhia Y.
europepmc   +1 more source

Decomposition-Enhanced Network for financial time series forecasting. [PDF]

Sci Rep
Huang J, Sun Q, Zhang X, Du H, Xu Z.
europepmc   +1 more source

Advancing Evidence-Based Medicine for Population, Intervention, Comparison, and Outcome Element Recognition and Extraction in Medical Literature: Large Language Model Approach. [PDF]

J Med Internet Res
Hao Z, Duan Y, Wang Y.
europepmc   +1 more source

HAlign-G: rapid and low-memory multiple-genome aligner for large-scale closely related genomes. [PDF]

Genome Biol
Zhang P, Zhou T, Wei Y, Tian Q, Zhai Y, Wang Y, Zou Q, Tang F, Luo X.   +8 more
europepmc   +1 more source

Multi-step partitioning combined with SOM neural network-based clustering technique effectively improves SAT solver performance. [PDF]

PeerJ Comput Sci
Yun S, Wang X.
europepmc   +1 more source

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Quantile Regression in Big Data: A Divide and Conquer Based Strategy

Computational Statistics and Data Analysis, 2020
Quantile regression, which analyzes the conditional distribution of outcomes given a set of covariates, has been widely used in many fields. However, the volume and velocity of big data make the estimation of quantile regression model extremely difficult
Yong Zhou
exaly   +2 more sources

Quantum K-Nearest Neighbor Classification Algorithm via a Divide-and-Conquer Strategy

Advanced Quantum Technologies
The K‐nearest neighbor algorithm is one of the most frequently applied supervised machine learning algorithms. Similarity computing is considered to be the most crucial and time‐consuming step among the classical K‐nearest neighbor algorithm. A quantum K‐
Li-Hua Gong, Nan-Run Zhou
exaly   +2 more sources

Research on Regulation Strategy of Integrated Energy System Based on Game Theory and Divide-and-Conquer Algorithm

Energy
Yanjuan Wu
exaly   +2 more sources