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» Comparison of Different Methods for Next Location Prediction
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BMCBI
2007
157views more  BMCBI 2007»
13 years 9 months ago
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory
Background: Large-scale sequencing of entire genomes has ushered in a new age in biology. One of the next grand challenges is to dissect the cellular networks consisting of many i...
Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao...
BMCBI
2010
158views more  BMCBI 2010»
13 years 9 months ago
Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
Background: Sustained research on the problem of determining which genes are differentially expressed on the basis of microarray data has yielded a plethora of statistical algorit...
Corey M. Yanofsky, David R. Bickel
ISMB
1998
13 years 10 months ago
A Hidden Markov Model for Predicting Transmembrane Helices in Protein Sequences
A novel method to model and predict the location and orientation of alpha helices in membrane- spanning proteins is presented. It is based on a hidden Markov model (HMM) with an a...
Erik L. L. Sonnhammer, Gunnar von Heijne, Anders K...
BMCBI
2005
130views more  BMCBI 2005»
13 years 8 months ago
Some statistical properties of regulatory DNA sequences, and their use in predicting regulatory regions in the Drosophila genome
Background: This paper addresses the problem of recognising DNA cis-regulatory modules which are located far from genes. Experimental procedures for this are slow and costly, and ...
Irina I. Abnizova, Rene te Boekhorst, Klaudia Walt...
BMCBI
2006
125views more  BMCBI 2006»
13 years 9 months ago
Automated functional classification of experimental and predicted protein structures
Background: Proteins that are similar in sequence or structure may perform different functions in nature. In such cases, function cannot be inferred from sequence or structural si...
Kai Wang, Ram Samudrala