Gebruikersprofielen voor Limin Fu

Limin Fu

University of California, San Diego
Geverifieerd e-mailadres voor ucsd.edu
Geciteerd door 14215

Seven HCI grand challenges

…, C Fidopiastis, G Fragomeni, LP Fu… - … Journal of Human …, 2019 - Taylor & Francis
This article aims to investigate the Grand Challenges which arise in the current and
emerging landscape of rapid technological evolution towards more intelligent interactive …

CD-HIT: accelerated for clustering the next-generation sequencing data

L Fu, B Niu, Z Zhu, S Wu, W Li - Bioinformatics, 2012 - academic.oup.com
CD-HIT is a widely used program for clustering biological sequences to reduce sequence
redundancy and improve the performance of other sequence analyses. In response to the …

Stimulus‐Responsive Hydrogels as Drug Delivery Systems for Inflammation Targeted Therapy

H Yu, R Gao, Y Liu, L Fu, J Zhou, L Li - Advanced Science, 2024 - Wiley Online Library
Deregulated inflammations induced by various factors are one of the most common diseases
in people's daily life, while severe inflammation can even lead to death. Thus, the efficient …

Rule generation from neural networks

LM Fu - IEEE Transactions on Systems, Man, and Cybernetics, 1994 - ieeexplore.ieee.org
The neural network approach has proven useful for the development of artificial intelligence
systems. However, a disadvantage with this approach is that the knowledge embedded in …

CD-HIT Suite: a web server for clustering and comparing biological sequences

Y Huang, B Niu, Y Gao, L Fu, W Li - Bioinformatics, 2010 - academic.oup.com
CD-HIT is a widely used program for clustering and comparing large biological sequence
datasets. In order to further assist the CD-HIT users, we significantly improved this program …

[BOEK][B] Neural networks in computer intelligence

LM Fu - 1994 - dl.acm.org
From the Publisher: Neural Networks in Computer Intelligence provides basic concepts,algorithms,and
analysis of important neural network models developed to date,with emphasis on …

FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data

L Fu, E Medico - BMC bioinformatics, 2007 - Springer
Background Data clustering analysis has been extensively applied to extract information
from gene expression profiles obtained with DNA microarrays. To this aim, existing clustering …

Ultrafast clustering algorithms for metagenomic sequence analysis

W Li, L Fu, B Niu, S Wu, J Wooley - Briefings in bioinformatics, 2012 - academic.oup.com
The rapid advances of high-throughput sequencing technologies dramatically prompted
metagenomic studies of microbial communities that exist at various environments. Fundamental …

Artificial and natural duplicates in pyrosequencing reads of metagenomic data

B Niu, L Fu, S Sun, W Li - BMC bioinformatics, 2010 - Springer
Background Artificial duplicates from pyrosequencing reads may lead to incorrect interpretation
of the abundance of species and genes in metagenomic studies. Duplicated reads were …

Rule learning by searching on adapted nets

LM Fu - Proceedings of the ninth National conference on …, 1991 - dl.acm.org
If the back propagation network can produce an inference structure with high and robust
performance, then it is sensible to extract rules from it. The KT algonthm is a novel algonthm for …