Results 31 to 40 of about 951,800 (293)

Leveraging current insights on IL‐10‐producing dendritic cells for developing effective immunotherapeutic approaches

FEBS Letters, EarlyView.
In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali, Gloria Giacomello, Michela Vuono, Silvia Gregori   +3 more
wiley   +1 more source

Infinite Latent Feature Selection Technique for Hyperspectral Image Classification

Jurnal Elektronika dan Telekomunikasi, 2019
The classification process is one of the most crucial processes in hyperspectral imaging. One of the limitations in classification process using machine learning technique is its complexities, where hyperspectral image format has a thousand band that can
Tajul Miftahushudur, Chaeriah Bin Ali Wael, Teguh Praludi   +2 more
doaj   +1 more source

Feature Redundancy Based on Interaction Information for Multi-Label Feature Selection

IEEE Access, 2020
Recent years, multi-label feature selection has gradually attracted significant attentions from machine learning, statistical computing and related communities and has been widely applied to diverse problems from music recognition to text mining, image ...
Wanfu Gao, Juncheng Hu, Yonghao Li, Ping Zhang   +3 more
doaj   +1 more source

FoxO1 signaling in B cell malignancies and its therapeutic targeting

FEBS Letters, EarlyView.
FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac, Petra Pavelkova, Laura Ondrisova, Marek Mraz   +3 more
wiley   +1 more source

Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer prediction [PDF]

Big Data and Computing Visions
Feature Selection (FS) is employed in the Machine Learning (ML) process to increase accuracy. Eliminating redundant and irrelevant variables while keeping the most important ones boosts the prediction capacity of the algorithms.
Ismail Mageed
doaj   +1 more source

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

FEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source

Elucidation of interface interactions between a dehydratase domain and an acyl carrier protein in cremimycin polyketide synthase

FEBS Letters, EarlyView.
In modular polyketide synthases, the dehydratase (DH) domain catalyzes the dehydration reaction of the β‐hydroxyacyl unit attached to the cognate acyl carrier protein (ACP) domain. However, it is unclear how DH interacts with ACP during the reaction. In this study, we identified DH–ACP interface residues, providing the first detailed insights into DH ...
Kaede Kotagiri, Haruka Tachibana, Daisuke Kawasaki, Taichi Chisuga, Toma Kashima, Shinya Fushinobu, Fumitaka Kudo, Tadashi Eguchi, Akimasa Miyanaga   +8 more
wiley   +1 more source

Hybrid feature selection based ScC and forward selection methods [PDF]

International Journal of Data and Network Science
Operational data is always huge. A preprocessing step is needed to prepare such data for the analytical process so the process will be fast. One way is by choosing the most effective features and removing the others. Feature selection algorithms
Luai Al-Shalabi
doaj   +1 more source

Causal Feature Selection via Transfer Entropy [PDF]

arXiv, 2023
Machine learning algorithms are designed to capture complex relationships between features. In this context, the high dimensionality of data often results in poor model performance, with the risk of overfitting. Feature selection, the process of selecting a subset of relevant and non-redundant features, is, therefore, an essential step to mitigate ...
arxiv  

Functional variation among LPMOs revealed by the inhibitory effects of cyanide and buffer ions

FEBS Letters, EarlyView.
This study addresses the inhibition of lytic polysaccharide monooxygenases (LPMOs) by cyanide and explains how and why the magnitude of observed inhibitory effects depends on the way LPMO reactions are setup and on the type of LPMO. Enzymes known as lytic polysaccharide monooxygenases (LPMOs) are mono‐copper polysaccharide‐degrading peroxygenases that ...
Ole Golten, Lorenz Schwaiger, Zarah Forsberg, Kelsi R. Hall, Anton A. Stepnov, Tom Z. Emrich‐Mills, Iván Ayuso‐Fernández, Morten Sørlie, Roland Ludwig, Åsmund Kjendseth Røhr, Vincent G. H. Eijsink   +10 more
wiley   +1 more source