Results 91 to 100 of about 187,725 (315)

Modeling Implicit Trust in Matrix Factorization-Based Collaborative Filtering

open access: yesApplied Sciences, 2019
Recommendation systems often use side information to both alleviate problems, such as the cold start problem and data sparsity, and increase prediction accuracy.
Yuyu Yuan, Ahmed Zahir, Jincui Yang
doaj   +1 more source

Determination of ADP/ATP translocase isoform ratios in malignancy and cellular senescence

open access: yesMolecular Oncology, EarlyView.
The individual functions of three isoforms exchanging ADP and ATP (ADP/ATP translocases; ANTs) on the mitochondrial membrane remain unclear. We developed a method for quantitatively differentiating highly similar human ANT1, ANT2, and ANT3 using parallel reaction monitoring. This method allowed us to assess changes in translocase levels during cellular
Zuzana Liblova   +18 more
wiley   +1 more source

Adaptive Energy-Aware Computation Offloading for Cloud of Things Systems

open access: yesIEEE Access, 2017
Cloud computing has become the de facto computing platform for application processing in the era of the Internet of Things (IoT). However, limitations of the cloud model, such as the high transmission latency and high costs are giving birth to a new ...
Yucen Nan   +6 more
doaj   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

open access: yesMolecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu   +12 more
wiley   +1 more source

A Concept-Value Network as a Brain Model

open access: yesNeuroSci
This paper suggests a statistical framework for describing the relations between the physical and conceptual entities of a brain-like model. Features and concept instances are put into context, where the paper suggests that features may be the electrical
Kieran Greer
doaj   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

open access: yesMolecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh   +8 more
wiley   +1 more source

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