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148
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BMCBI
2008
137views more  BMCBI 2008»
15 years 3 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
125
Voted
BMCBI
2010
148views more  BMCBI 2010»
15 years 3 months ago
Analysis of interactions between ribosomal proteins and RNA structural motifs
Background: One important goal of structural bioinformatics is to recognize and predict the interactions between protein binding sites and RNA. Recently, a comprehensive analysis ...
Giovanni Ciriello, Claudio Gallina, Concettina Gue...
134
Voted
BMCBI
2007
127views more  BMCBI 2007»
15 years 3 months ago
The EIPeptiDi tool: enhancing peptide discovery in ICAT-based LC MS/MS experiments
Background: Isotope-coded affinity tags (ICAT) is a method for quantitative proteomics based on differential isotopic labeling, sample digestion and mass spectrometry (MS). The me...
Mario Cannataro, Giovanni Cuda, Marco Gaspari, Ser...
151
Voted
BMCBI
2007
154views more  BMCBI 2007»
15 years 3 months ago
Classification of heterogeneous microarray data by maximum entropy kernel
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
Wataru Fujibuchi, Tsuyoshi Kato
123
Voted
BMCBI
2007
104views more  BMCBI 2007»
15 years 3 months ago
Joint mapping of genes and conditions via multidimensional unfolding analysis
Background: Microarray compendia profile the expression of genes in a number of experimental conditions. Such data compendia are useful not only to group genes and conditions base...
Katrijn Van Deun, Kathleen Marchal, Willem J. Heis...