Results 91 to 100 of about 7,468,732 (318)
Inference of Causal Networks Using a Topological Threshold
IEEE AccessWe propose a constraint-based algorithm, which automatically determines causal relevance thresholds, to infer causal networks from data. We call these topological thresholds.
Filipe Barroso +2 more
doaj +1 more source
Network Model Selection for Task-Focused Attributed Network Inference
, 2017 Networks are models representing relationships between entities. Often these relationships are explicitly given, or we must learn a representation which generalizes and predicts observed behavior in underlying individual data (e.g. attributes or labels).
Berger-Wolf, Tanya Y. +2 more
core +1 more source
Inferring Centrality from Network Snapshots
Scientific Reports, 2017 AbstractThe topology and dynamics of a complex network shape its functionality. However, the topologies of many large-scale networks are either unavailable or incomplete. Without the explicit knowledge of network topology, we show how the data generated from the network dynamics can be utilised to infer the tempo centrality, which is proposed to ...
Haibin Shao +3 more
openaire +2 more sources
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
MathematicsAdvancements in data availability and computational techniques, including machine learning, have transformed the field of bioinformatics, enabling the robust analysis of complex, high-dimensional, and heterogeneous biomedical data.
Mehmet Eren Ahsen
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Trace complexity of network inference [PDF]
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013 25 pages, preliminary version appeared in Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2013)
Bruno Abrahao +3 more
openaire +2 more sources
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Bid Expression Network Controls Neuronal Cell Fate During Avian Ciliary Ganglion Development
Frontiers in Physiology, 2018 Avian ciliary ganglion (CG) development involves a transient execution phase of apoptosis controlling the final number of neurons, but the time-dependent molecular mechanisms for neuronal cell fate are largely unknown. To elucidate the molecular networks
Sophie Koszinowski +11 more
doaj +1 more source
Molecular Oncology, EarlyView.This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker +16 more
wiley +1 more source
Foundations of Computing and Decision SciencesTo address the issue of insufficient accuracy in consumer recommendation systems, a new biased network inference algorithm is proposed based on traditional network inference algorithms.
Lian Naiyu, Xu Hengzhe, Zhang Feiyang
doaj +1 more source