Results 101 to 110 of about 796,511 (318)

Simultaneous feature selection and parameter optimisation using an artificial ant colony : case study of melting point prediction

, 2008
We present a novel feature selection algorithm, Winnowing Artificial Ant Colony (WAAC), that performs simultaneous feature selection and model parameter optimisation for the development of predictive quantitative structure-property relationship (QSPR ...
Nigsch Florian, David S Palmer, O'Boyle, NM, Florian Nigsch, Palmer, David S, Noel M O'Boyle, Nigsch, F, Mitchell, J. B., John BO Mitchell, O'Boyle, Noel M, Mitchell, John BO, Palmer, D. S., O'Boyle, N. M., Mitchell John BO, Nigsch, Florian, Palmer David S, Mitchell, John Blayney Owen, Nigsch, F., Palmer, DS, O'Boyle Noel M   +19 more
core   +1 more source

Calpain small subunit homodimerization is robust and calcium‐independent

FEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy, Trina Dykstra‐MacPherson, Mathias A. Bell, Peter L. Davies, Ruby May A. Sullan   +4 more
wiley   +1 more source

The Effect of Feature Selection on Machine Learning Classification

JOIV: International Journal on Informatics Visualization
High-dimensional datasets can lead to overfitting and computationally expensive model building on machine learning. This study uses a dimensionality reduction technique, namely feature selection techniques, to overcome these problems.
Jasman Pardede, Rio Dwianto
doaj   +1 more source

Robust Feature Selection Using Ensemble Feature Selection Techniques [PDF]

, 2008
Robustness or stability of feature selection techniques is a topic of recent interest, and is an important issue when selected feature subsets are subsequently analysed by domain experts to gain more insight into the problem modelled. In this work, we investigate the use of ensemble feature selection techniques, where multiple feature selection methods
Yvan Saeys, Thomas Abeel, Yves Van de Peer   +2 more
openaire   +1 more source

General framework for class-specific feature selection [PDF]

, 2011
Commonly, when a feature selection algorithm is applied, a single feature subset is selected for all the classes, but this subset could be inadequate for some classes.
José Francisco Martínez Trinidad, BARBARA BERENICE PINEDA BAUTISTA, Jesús Ariel Carrasco Ochoa   +2 more
core  

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

FEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa, Konstantinos Makryniotis, Theofani‐Iosifina Sousani, Evangelos Topakas, Vangelis Daskalakis, Maria Dimarogona   +5 more
wiley   +1 more source

On Supervised Feature Selection from High Dimensional Feature Spaces

APSIPA Transactions on Signal and Information Processing, 2022
Yijing Yang, Wei Wang, Hongyu Fu, C.-C. Jay Kuo   +3 more
doaj   +1 more source

Local feature weighting in nearest prototype classification [PDF]

, 2008
The distance metric is the corner stone of nearest neighbor (NN)-based methods, and therefore, of nearest prototype (NP) algorithms. That is because they classify depending on the similarity of the data.
Isasi, Pedro, Fernández, Fernando, Isasi Viñuela, Pedro   +2 more
core   +1 more source

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

FEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura, Shin‐ichi Tate, Kyota Yasuda   +2 more
wiley   +1 more source

Feature Over-Selection [PDF]

, 2006
We propose probabilistic framework for analysis of inaccuracies due to feature selection (FS) when flawed estimates of performance of feature subsets are utilized. The approach is based on analysis of random search FS procedure and postulation that joint distribution of true and estimated classification errors is known a priori.
openaire   +1 more source