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NIPS
1997
14 years 11 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
BIBE
2010
IEEE
143views Bioinformatics» more  BIBE 2010»
14 years 11 months ago
The Effect of Sequence Error and Partial Training Data on BLAST Accuracy
- Metagenomics is the study of environmental samples. Because few tools exist for metagenomic analysis, a natural step has been to utilize the popular homology tool, BLAST, to sear...
Steven D. Essinger, Gail L. Rosen
BMCBI
2010
98views more  BMCBI 2010»
14 years 10 months ago
Prediction of protein structural classes for low-homology sequences based on predicted secondary structure
Background: Prediction of protein structural classes (a, b, a + b and a/b) from amino acid sequences is of great importance, as it is beneficial to study protein function, regulat...
Jian-Yi Yang, Zhen-Ling Peng, Xin Chen
BMCBI
2010
155views more  BMCBI 2010»
14 years 10 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
BMCBI
2008
103views more  BMCBI 2008»
14 years 10 months ago
TOPS++FATCAT: Fast flexible structural alignment using constraints derived from TOPS+ Strings Model
Background: Protein structure analysis and comparison are major challenges in structural bioinformatics. Despite the existence of many tools and algorithms, very few of them have ...
Mallika Veeramalai, Yuzhen Ye, Adam Godzik