Sciweavers

BMCBI
2006
110views more  BMCBI 2006»
13 years 11 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon
BMCBI
2006
158views more  BMCBI 2006»
13 years 11 months ago
Detection of non-coding RNAs on the basis of predicted secondary structure formation free energy change
Background: Non-coding RNAs (ncRNAs) have a multitude of roles in the cell, many of which remain to be discovered. However, it is difficult to detect novel ncRNAs in biochemical s...
Andrew V. Uzilov, Joshua M. Keegan, David H. Mathe...
BMCBI
2006
102views more  BMCBI 2006»
13 years 11 months ago
SNA - a toolbox for the stoichiometric analysis of metabolic networks
Background: Despite recent algorithmic and conceptual progress, the stoichiometric network analysis of large metabolic models remains a computationally challenging problem. Result...
Robert Urbanczik
BMCBI
2006
50views more  BMCBI 2006»
13 years 11 months ago
Metabolic pathways variability and sequence/networks comparisons
Kyaw Tun, Pawan K. Dhar, Maria Concetta Palumbo, A...
BMCBI
2006
123views more  BMCBI 2006»
13 years 11 months ago
Characterizing disease states from topological properties of transcriptional regulatory networks
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
David Tuck, Harriet Kluger, Yuval Kluger
BMCBI
2006
61views more  BMCBI 2006»
13 years 11 months ago
Various criteria in the evaluation of biomedical named entity recognition
Richard Tzong-Han Tsai, Shih-Hung Wu, Wen-Chi Chou...
BMCBI
2006
80views more  BMCBI 2006»
13 years 11 months ago
An analysis of the Sargasso Sea resource and the consequences for database composition
Michael L. Tress, Domenico Cozzetto, Anna Tramonta...
BMCBI
2006
134views more  BMCBI 2006»
13 years 11 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden
BMCBI
2006
95views more  BMCBI 2006»
13 years 11 months ago
A simple method for assessing sample sizes in microarray experiments
In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. Our method starts with the output from a permutation-based anal...
Robert Tibshirani
BMCBI
2006
151views more  BMCBI 2006»
13 years 11 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman