Results 81 to 90 of about 2,058,652 (297)

A Matlab Toolbox for Feature Importance Ranking [PDF]

2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE), 2019
More attention is being paid for feature importance ranking (FIR), in particular when thousands of features can be extracted for intelligent diagnosis and personalized medicine. A large number of FIR approaches have been proposed, while few are integrated for comparison and real-life applications.
Shaode Yu, Zhicheng Zhang, Xiaokun Liang, Junjie Wu, Erlei Zhang, Wenjian Qin, Yaoqin Xie   +6 more
openaire   +2 more sources

The Impact of Tenapanor on Body Composition and Blood Pressure in Peritoneal Dialysis Patients: A Pilot Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Instruction Tenapanor potentially affects fluid volume and blood pressure. This study explored its effects on these parameters in patients undergoing peritoneal dialysis (PD). Methods We conducted a single‐arm, prospective observational study that enrolled 10 patients on PD with hyperphosphatemia who were newly initiated on tenapanor.
Shun Yoshida, Kengo Asahina, Keiichi Osano, Natsumi Saegusa, Kohei Yamamura, Kie Ohkoshi, Miho Shikata, Toshihisa Ishii, Makiko Konishi, Kazuya Takahashi, Kohei Uchimura, Ayumu Nakashima   +11 more
wiley   +1 more source

Data-Driven Structuring of the Output Space Improves the Performance of Multi-Target Regressors

IEEE Access, 2019
The task of multi-target regression (MTR) is concerned with learning predictive models capable of predicting multiple target variables simultaneously. MTR has attracted an increasing attention within research community in recent years, yielding a variety
Stevanche Nikoloski, Dragi Kocev, Saso Dzeroski   +2 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Results of K-means after feature ranking.

, 2016
Results of K-means after feature ranking.
Maheyzah Md Siraj (3366005), Huwaida Tagelsir Elshoush (3366011), Fatin Elhaj (3366008), Anazida Zainal (782459), Taqwa Ahmed Alhaj (3366002)   +4 more
core   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

Ranking Feature Importance Objectives for Explainable Classification

IEEE Access
Recent studies on explainable machine learning models often analyse feature importance after training, but this results in a model that does not capture feature dependencies and requires extra computational resources for explainability.
Pragya Gupta, Sanchita Mondal, Aishwaryaprajna, Debashree Guha, Debjani Chakraborty   +4 more
doaj   +1 more source

Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein

FEBS Letters, EarlyView.
Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux, Christian Lévêque, Fodil Azzaz, Marion Sangiardi, Sarosh R Irani, Michael Seagar, Jacques Fantini, Oussama El Far   +7 more
wiley   +1 more source

Feature Ranking for Predicting Occupant Visual Comfort in University Laboratories Using Machine Learning [PDF]

E3S Web of Conferences
Visual comfort is crucial for both occupant well-being and energy efficiency in smart buildings in university laboratory settings. While AI-driven urban sustainability has seen advances, there is little work on visual comfort in university laboratories ...
Al Shafik Md. Fardin, Mukib Md. Al Hossain, Uddin Mohammad Nyme   +2 more
doaj   +1 more source