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BMCBI
2005
152views more  BMCBI 2005»
13 years 7 months ago
Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
Markus Wistrand, Erik L. L. Sonnhammer
BMCBI
2008
177views more  BMCBI 2008»
13 years 7 months ago
Baseline Correction for NMR Spectroscopic Metabolomics Data Analysis
Background: We propose a statistically principled baseline correction method, derived from a parametric smoothing model. It uses a score function to describe the key features of b...
Yuanxin Xi, David M. Rocke
CSB
2005
IEEE
114views Bioinformatics» more  CSB 2005»
14 years 1 months ago
EigenPhenotypes: Towards an Algorithmic Framework for Phenotype Discovery
Studying the genetic control of molecular, anatomical and/or morphological phenotypes in model organisms is a powerful tool in the functional analysis of a gene. The goal of our r...
Alexander Vaughan, Rahul Singh, Ilmi Yoon, Megumi ...
ICSM
2009
IEEE
14 years 2 months ago
Inquiring the usage of aspect-oriented programming: An empirical study
Back in 2001, the MIT announced aspect-oriented programming as a key technology in the next 10 years. Nowadays, 8 years later, AOP is not widely adopted. Several reasons can expla...
Freddy Munoz, Benoit Baudry, Romain Delamare, Yves...
ICML
2008
IEEE
14 years 8 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray