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» Challenges for knowledge discovery in biology
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BMCBI
2010
98views more  BMCBI 2010»
14 years 9 months ago
A semi-nonparametric mixture model for selecting functionally consistent proteins
Background: High-throughput technologies have led to a new era of proteomics. Although protein microarray experiments are becoming more common place there are a variety of experim...
Lianbo Yu, R. W. Doerge
BMCBI
2007
159views more  BMCBI 2007»
14 years 9 months ago
Detecting differential expression in microarray data: comparison of optimal procedures
Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...
Elena Perelman, Alexander Ploner, Stefano Calza, Y...
RECOMB
2010
Springer
14 years 11 months ago
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
Christian Widmer, Jose Leiva, Yasemin Altun, Gunna...
ISMB
1993
14 years 10 months ago
Minimizing Complexity in Cellular Automata Models of Self-Replication
Understanding self-replication from an information processing perspective is important because, amongother things, it can shed light on molecular mechanismsof biological reproduct...
James A. Reggia, Hui-Hsien Chou, Steven L. Armentr...
BMCBI
2007
157views more  BMCBI 2007»
14 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...