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RECOMB
2006
Springer
16 years 7 months ago
CONTRAlign: Discriminative Training for Protein Sequence Alignment
In this paper, we present CONTRAlign, an extensible and fully automatic framework for parameter learning and protein pairwise sequence alignment using pair conditional random field...
Chuong B. Do, Samuel S. Gross, Serafim Batzoglou
RECOMB
2005
Springer
16 years 7 months ago
Individual Gene Cluster Statistics in Noisy Maps
Abstract. Identification of homologous chromosomal regions is important for understanding evolutionary processes that shape genome evolution, such as genome rearrangements and larg...
Narayanan Raghupathy, Dannie Durand
RECOMB
2004
Springer
16 years 7 months ago
Chromosomal breakpoint re-use in the inference of genome sequence rearrangement
In order to apply gene-order rearrangement algorithms to the comparison of genome sequences, Pevzner and Tesler [9] bypass gene finding and ortholog identification, and use the or...
David Sankoff, Phil Trinh
RECOMB
2003
Springer
16 years 7 months ago
Transforming men into mice: the Nadeau-Taylor chromosomal breakage model revisited
Although analysis of genome rearrangements was pioneered by Dobzhansky and Sturtevant 65 years ago, we still know very little about the rearrangement events that produced the exis...
Pavel A. Pevzner, Glenn Tesler
STOC
2003
ACM
154views Algorithms» more  STOC 2003»
16 years 7 months ago
Boosting in the presence of noise
Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...
Adam Kalai, Rocco A. Servedio