Evolution of the Actin Gene Family in Testate Lobose Amoebae
... are the subject of this study. Most knowledge in this group stems from studies in the model slime molds (Dictyostelium and Physarum) and some pathogenic lineages (Entamoeba and Acanthamoeba). The completed genome of D. discoideum (Eichinger et al. 2005) reveals a 41-member set of actin paralogs enco ...
... are the subject of this study. Most knowledge in this group stems from studies in the model slime molds (Dictyostelium and Physarum) and some pathogenic lineages (Entamoeba and Acanthamoeba). The completed genome of D. discoideum (Eichinger et al. 2005) reveals a 41-member set of actin paralogs enco ...
Footnotes to the flowchart
... 12. Has the EQA-organizer registered the correct method and result? NO (E): Ask for a new corrected report from the EQA-organizer. 13. Has the laboratory reported the correct method and result? NO (I): The internal routines have to be reevaluated. 14. Have the samples been sent in a proper way? NO ( ...
... 12. Has the EQA-organizer registered the correct method and result? NO (E): Ask for a new corrected report from the EQA-organizer. 13. Has the laboratory reported the correct method and result? NO (I): The internal routines have to be reevaluated. 14. Have the samples been sent in a proper way? NO ( ...
Numerical Methods in Engineering with Python 3
... on Python programming. We introduce just enough Python to implement the numerical algorithms. That leaves the vast majority of the language unexplored. Most engineers are not programmers, but problem solvers. They want to know what methods can be applied to a given problem, what their strengths and ...
... on Python programming. We introduce just enough Python to implement the numerical algorithms. That leaves the vast majority of the language unexplored. Most engineers are not programmers, but problem solvers. They want to know what methods can be applied to a given problem, what their strengths and ...
Chapter Outline
... and protein sequences show the evolutionary and protein sequences show the evolutionary relationships among organisms. • The rate of molecular evolution can be determined by calculating the average number of amino acid or nucleotide changes that have occurred per site in a molecule since two or ...
... and protein sequences show the evolutionary and protein sequences show the evolutionary relationships among organisms. • The rate of molecular evolution can be determined by calculating the average number of amino acid or nucleotide changes that have occurred per site in a molecule since two or ...
L10: k-Means Clustering
... k = O(n )) number of possible distinct cluster centers. But it could be exponential in k and d (the dimension when Euclidean distance used). • However, usually R = 10 is fine. • Smoothed analysis: if data perturbed randomly slightly, then R = O(n35 k 34 d8 ). This is “polynomial,” but still ridiculo ...
... k = O(n )) number of possible distinct cluster centers. But it could be exponential in k and d (the dimension when Euclidean distance used). • However, usually R = 10 is fine. • Smoothed analysis: if data perturbed randomly slightly, then R = O(n35 k 34 d8 ). This is “polynomial,” but still ridiculo ...
Graph-based consensus clustering for class discovery from gene
... attention to class discovery based on the consensus clustering approaches. • They consist of two major steps: – Generating a cluster ensemble based on a clustering algorithm. – Finding a consensus partition based on this ensemble. ...
... attention to class discovery based on the consensus clustering approaches. • They consist of two major steps: – Generating a cluster ensemble based on a clustering algorithm. – Finding a consensus partition based on this ensemble. ...
Homology modeling workshop
... of DNA to complex molecular machines like the ribosome. • There are currently 57013 structures deposited in the PDB. However, taking out redundant sequences (e.g. 90%) reduces the number of structures to 19988… • Each structure receives a unique 4 letter ID ...
... of DNA to complex molecular machines like the ribosome. • There are currently 57013 structures deposited in the PDB. However, taking out redundant sequences (e.g. 90%) reduces the number of structures to 19988… • Each structure receives a unique 4 letter ID ...
Evolution of Behavior: Phylogeny and the Origin of Present
... rat, pigeon, primate) to investigate the neurological or developmental pathways of behavior or to identify universal cognitive processes, such as those involved in learning. As is already becoming evident in this chapter, phylogenetic comparative biologists typically examine phenotypic variation in ...
... rat, pigeon, primate) to investigate the neurological or developmental pathways of behavior or to identify universal cognitive processes, such as those involved in learning. As is already becoming evident in this chapter, phylogenetic comparative biologists typically examine phenotypic variation in ...
IOSR Journal of Computer Engineering (IOSR-JCE)
... Clustering is the task of partitioning the given unlabeled dataset into a number of groups such that objects in the same group are similar to each other and dissimilar to the objects in the other groups. The dissimilarities are assessed based on the attribute Values representing the objects. Althoug ...
... Clustering is the task of partitioning the given unlabeled dataset into a number of groups such that objects in the same group are similar to each other and dissimilar to the objects in the other groups. The dissimilarities are assessed based on the attribute Values representing the objects. Althoug ...
CoevolPaper2 - University of Illinois Archives
... Due to the crystallization procedure, a combination of effects such as different conformational states, difference in crystallization conditions, and/or the lower resolution structures, can lead to noise in the structural phylogenetic analysis. As a result, sequence-based phylogenetic methods yield ...
... Due to the crystallization procedure, a combination of effects such as different conformational states, difference in crystallization conditions, and/or the lower resolution structures, can lead to noise in the structural phylogenetic analysis. As a result, sequence-based phylogenetic methods yield ...
Optimization_2016_JS
... What is optimization? • Optimization = Finding the best way of doing something • The overall problem usually consists of a multitude of decisions that are made simultaneously (decision variables) • The “goodness” of a certain set of decisions is measured by a numerical value called the objective fu ...
... What is optimization? • Optimization = Finding the best way of doing something • The overall problem usually consists of a multitude of decisions that are made simultaneously (decision variables) • The “goodness” of a certain set of decisions is measured by a numerical value called the objective fu ...
ICDM07_Jin - Kent State University
... discretization algorithms: Yang and Webb; Kurgan and Cios (CAIM); Boulle (Khiops). • CAIM attempts to minimize the number of discretization intervals and at the same time to minimize the information loss. • Khiops uses Pearson’s X2 statistic to select merging consecutive intervals that minimize the ...
... discretization algorithms: Yang and Webb; Kurgan and Cios (CAIM); Boulle (Khiops). • CAIM attempts to minimize the number of discretization intervals and at the same time to minimize the information loss. • Khiops uses Pearson’s X2 statistic to select merging consecutive intervals that minimize the ...
Data Discretization
... discretization algorithms: Yang and Webb; Kurgan and Cios (CAIM); Boulle (Khiops). • CAIM attempts to minimize the number of discretization intervals and at the same time to minimize the information loss. • Khiops uses Pearson’s X2 statistic to select merging consecutive intervals that minimize the ...
... discretization algorithms: Yang and Webb; Kurgan and Cios (CAIM); Boulle (Khiops). • CAIM attempts to minimize the number of discretization intervals and at the same time to minimize the information loss. • Khiops uses Pearson’s X2 statistic to select merging consecutive intervals that minimize the ...
Cophylogeny and disparate rates of evolution in sympatric lineages
... nies for the hosts and their associates, a pattern termed cophylogeny. Testing for cophylogeny is the first step toward understanding codivergence, cospeciation, coadaptation, and general ecological relationships between associated taxa. Whereas some studies have found statistically significant cophyl ...
... nies for the hosts and their associates, a pattern termed cophylogeny. Testing for cophylogeny is the first step toward understanding codivergence, cospeciation, coadaptation, and general ecological relationships between associated taxa. Whereas some studies have found statistically significant cophyl ...
Technical Article Recent Developments in Discontinuous Galerkin Methods for the Time–
... The origins of DG methods can be traced back to the seventies, where they were proposed for the numerical solution of the neutron transport equation, as well as for the weak enforcement of continuity in Galerkin methods for elliptic and parabolic problems; see [1] for a historical review. In the mea ...
... The origins of DG methods can be traced back to the seventies, where they were proposed for the numerical solution of the neutron transport equation, as well as for the weak enforcement of continuity in Galerkin methods for elliptic and parabolic problems; see [1] for a historical review. In the mea ...
Male-Biased Mutation Rate and Divergence in Autosomal, Z
... 1997), with the Tamura-Nei (Tamura and Nei 1993) model of sequence evolution. Distances were estimated on the assumption that all sites evolve at the same rate (i.e., no among-site rate variation). The estimation of confidence intervals and hypothesis testing was carried out by application of nonpar ...
... 1997), with the Tamura-Nei (Tamura and Nei 1993) model of sequence evolution. Distances were estimated on the assumption that all sites evolve at the same rate (i.e., no among-site rate variation). The estimation of confidence intervals and hypothesis testing was carried out by application of nonpar ...
Inference IV: Approximate Inference
... practice, EM converges rather quickly at start but converges slowly near the (possibly-local) maximum. Hence, often EM is used few iterations and then Gradient Ascent steps are applied. ...
... practice, EM converges rather quickly at start but converges slowly near the (possibly-local) maximum. Hence, often EM is used few iterations and then Gradient Ascent steps are applied. ...