Results 81 to 90 of about 1,014,031 (308)

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

Enhancing classification performance over noise and imbalanced data problems

, 2012
This research presents the development of techniques to handle two issues in data classification: noise and imbalanced data problems. Noise is a significant problem that can degrade the quality of training data in any learning algorithm.
Jeatrakul, Piyasak
core  

An RL-Enhanced Multi-Agent Framework for Scalable and Intelligent Business Intelligence Systems

Information
In many organizations, business intelligence systems support analytical reporting and operational decision making. As data volumes grow and analytical tasks become more complex, architectures based on centralized processing pipelines increasingly face ...
Khamza Eshankulov, Kudratjon Zohirov, Ilkhom Bakaev, Shafiyev Tursun, Nazarov Shakhzod, Zavqiddin Temirov, Rashid Nasimov   +6 more
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Improving classification in protein structure databases using text mining [PDF]

, 2009
Background: The classification of protein domains in the CATH resource is primarily based on structural comparisons, sequence similarity and manual analysis.
Jones, DT, Koussounadis, A, Oliver C Redfern, Redfern, Oliver, Koussounadis Antonis, Jones David T, Redfern, OC, Redfern Oliver C, Antonis Koussounadis, David T Jones, Jones, David, Koussounadis, Antonis   +11 more
core   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Frequency-based radar waveform design for target classification performance optimisation using Fisher analysis [PDF]

, 2020
This thesis presents non-adaptive radar waveform and receiver designs to improve radar target identification performance. The designs are based on the theory of Fisher discriminants analysis and Fisher separability functions.
Alshirah, Sultan
core   +1 more source

Tau acetylation at K331 has limited impact on tau pathology in vivo

FEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto, Yukio Matsuba, Mika Takahashi, Takaomi C. Saido   +3 more
wiley   +1 more source

An Empirical Study of a Simple Incremental Classifier Based on Vector Quantization and Adaptive Resonance Theory

International Journal of Applied Mathematics and Computer Science
When constructing a new data classification algorithm, relevant quality indices such as classification accuracy (ACC) or the area under the receiver operating characteristic curve (AUC) should be investigated. End-users of these algorithms are interested
Czmil Sylwester, Kluska Jacek, Czmil Anna   +2 more
doaj   +1 more source

Predicting Query Performance via Classification [PDF]

, 2010
We investigate using topic prediction data, as a summary of document content, to compute measures of search result quality. Unlike existing quality measures such as query clarity that require the entire content of the top-ranked results, class-based statistics can be computed efficiently online, because class information is compact enough to precompute
Kevyn Collins-Thompson, Paul N. Bennett
openaire   +1 more source