標(biāo)題: Titlebook: Bioinformatics Research and Applications; Third International Ion M?ndoiu,Alexander Zelikovsky Conference proceedings 2007 Springer-Verlag [打印本頁] 作者: 紀(jì)念性 時間: 2025-3-21 18:14
書目名稱Bioinformatics Research and Applications影響因子(影響力)
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書目名稱Bioinformatics Research and Applications被引頻次
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書目名稱Bioinformatics Research and Applications年度引用
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書目名稱Bioinformatics Research and Applications讀者反饋
書目名稱Bioinformatics Research and Applications讀者反饋學(xué)科排名
作者: Exclude 時間: 2025-3-21 22:26 作者: 賞心悅目 時間: 2025-3-22 00:49 作者: Cardioversion 時間: 2025-3-22 06:29
https://doi.org/10.1007/978-3-642-94197-9ed out. The statistical challenge in this task is due to high prevalence of situations in which the following settings are true: (1) none or insufficiently fewer repeats; (2) 0-time or starting point reference; and, (3) undefined or unknown pattern of response. One simple and effective criterion tha作者: 合唱團(tuán) 時間: 2025-3-22 11:34 作者: FLIP 時間: 2025-3-22 14:35 作者: Itinerant 時間: 2025-3-22 17:22 作者: 小官 時間: 2025-3-22 23:28
https://doi.org/10.1007/978-3-658-13201-9s well accepted in microarray studies. To date, the only statistical method for analyzing microarray data obtained using factorial design has been the analysis of variance (ANOVA) model which is a gene by gene approach and relies on multiple assumptions. We introduce a multivariate approach, the boo作者: Efflorescent 時間: 2025-3-23 04:54 作者: 脫水 時間: 2025-3-23 06:42 作者: hypnogram 時間: 2025-3-23 12:57
Allgemeines zu den Kausalit?tsfrageneast five new recombination detection methods published in the last year, the growing list of over 40 methods suggests that this field is generating a lot of interest. In previous studies comparing recombination detection methods, the evaluation procedures did not measure how many recombinant sequen作者: Anthem 時間: 2025-3-23 14:00 作者: 歌唱隊 時間: 2025-3-23 18:53
Die Analyse mehrdimensionaler Beziehungen, a method of estimating diversity from an environmental sample of DNA and apply it to data taken from samples from the Sargasso Sea. Our approach combines the coverage depth method of Venter .. [2] and the contig spectrum approach of Angly .. [4], but uses maximum likelihood to recover the diversity作者: 放大 時間: 2025-3-24 01:44 作者: 真實(shí)的人 時間: 2025-3-24 03:17
Kausalmodellierung mit Partial Least Squares to perform clustering and then compute a functional characterization via enrichments by Gene Ontology terms [1]. To better assist the interpretation of results, it may be useful to establish connections among different clusters. This machine learning step is sometimes termed ., and several approach作者: OGLE 時間: 2025-3-24 08:59
Kausalmodellierung mit Partial Least Squarese learning tools for high dimensional data analysis. Previous attempts at gene expression analysis have typically used a linear dimensionality reduction method such as Principal Components Analysis (PCA). Linear dimensionality reduction methods do not however account for the inherent nonlinearity wi作者: Opponent 時間: 2025-3-24 11:53
Kausalmodellierung mit Partial Least Squarestion, it is often desirable to conduct a parameter-space analysis in which the behavior of the model is catalogued over a very large range of parameter permutations. Here we report the development and testing of a tool-kit called NEURONgrid for conducting this type of analysis in a grid environment 作者: adhesive 時間: 2025-3-24 15:39
https://doi.org/10.1007/978-3-8349-9328-1 be represented in an easy-to-comprehend form and allow convenient manipulation of the data..We developed an adaptive approach to visualization of large sequence datasets on the web. A dataset is presented in an aggregated tree form with special representation of sub-scale details. The representatio作者: Excise 時間: 2025-3-24 21:17 作者: GLARE 時間: 2025-3-25 00:03
Kausalmodelle zur LieferantenbewertungHomology search, finding similar parts between two sequences, is the most fundamental task in bioinformatics. A large fraction of the world’s supercomputing time is consumed by homology search.作者: 受辱 時間: 2025-3-25 06:55
Invited Talk: Modern Homology Search,Homology search, finding similar parts between two sequences, is the most fundamental task in bioinformatics. A large fraction of the world’s supercomputing time is consumed by homology search.作者: cochlea 時間: 2025-3-25 07:53 作者: 半球 時間: 2025-3-25 11:41
978-3-540-72030-0Springer-Verlag Berlin Heidelberg 2007作者: 貨物 時間: 2025-3-25 16:29 作者: 完成才能戰(zhàn)勝 時間: 2025-3-25 21:53
0302-9743 Overview: 978-3-540-72030-0978-3-540-72031-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 大火 時間: 2025-3-26 03:00 作者: 漫步 時間: 2025-3-26 07:31 作者: 艦旗 時間: 2025-3-26 12:27
https://doi.org/10.1007/978-3-658-13201-9own-regulated due to the main experimental factors or as a result of interactions. Model comparison showed that although both BCA and ANOVA capture the main regulatory profiles in the data, our multivariate approach is more efficient in identifying genes with biological and functional significances.作者: Bernstein-test 時間: 2025-3-26 13:07
Allgemeines zu den Kausalit?tsfragenS. The incorporation of HOS deviates from implicit symmetry assumed for Gaussian distribution. In this paper the performance of the RFHOS is compared against other well known ranking functions designed for ranking the genes in two sample microarray experiments.作者: 紀(jì)念 時間: 2025-3-26 18:50
Allgemeines zu den Kausalit?tsfragenhe output of recombination detection programs. . may also assist in understanding how network size and complexity may shape recombination signals in a set of DNA sequences. The results may prove useful in the phylogenetic study of serially-sampled viral data with recombination events.作者: 天氣 時間: 2025-3-26 20:56
,Die logische Struktur kausaler Erkl?rungen,rk we characterized the existence of the galled-tree networks. Building on this, we present a polynomial algorithm for haplotyping via galled-tree networks with simple galls (having two mutations). In the end, we give the experimental results comparing our algorithm with PHASE on simulated data.作者: congenial 時間: 2025-3-27 04:08
Kausalmodellierung mit Partial Least Squares that can exploit such structured graphical nature. Finally, we compare our approach against a specific flat list method by analyzing the cdc15-subset of the well known Spellman’s Yeast Cell Cycle dataset [2].作者: 天氣 時間: 2025-3-27 06:12 作者: 原諒 時間: 2025-3-27 12:40
Efficiently Finding the Most Parsimonious Phylogenetic Tree Via Linear Programming,provably efficient methods. The program solves several large mtDNA and Y-chromosome instances within a few seconds, giving provably optimal results in times competitive with fast heuristics than cannot guarantee optimality.作者: 暫時過來 時間: 2025-3-27 15:18 作者: oxidize 時間: 2025-3-27 20:21 作者: GOAD 時間: 2025-3-28 00:21 作者: 游行 時間: 2025-3-28 04:35 作者: 淡紫色花 時間: 2025-3-28 06:50
Algorithm for Haplotype Inferring Via Galled-Tree Networks with Simple Galls,rk we characterized the existence of the galled-tree networks. Building on this, we present a polynomial algorithm for haplotyping via galled-tree networks with simple galls (having two mutations). In the end, we give the experimental results comparing our algorithm with PHASE on simulated data.作者: LATER 時間: 2025-3-28 14:22
Discovering Relations Among GO-Annotated Clusters by Graph Kernel Methods, that can exploit such structured graphical nature. Finally, we compare our approach against a specific flat list method by analyzing the cdc15-subset of the well known Spellman’s Yeast Cell Cycle dataset [2].作者: 效果 時間: 2025-3-28 17:59
NEURONgrid: A Toolkit for Generating Parameter-Space Maps Using NEURON in a Grid Environment, submit a parameter-space analysis, monitor progress, and download results. NEURONgrid provides a user-friendly means for conducting intensive model exploration within the neurosciences. It is available for download at http://neurongrid.homeip.net.作者: 固定某物 時間: 2025-3-28 21:43 作者: Reservation 時間: 2025-3-29 02:13
https://doi.org/10.1007/978-3-8349-9328-1cations, are aggregated/refined consistently with the tree. The user can interactively request further refinement or aggregation for different parts of the tree..The technique is implemented in Javascript on client site. It is a part of the new AJAX-based implementation of the NCBI Influenza Virus Resource.作者: A簡潔的 時間: 2025-3-29 03:16 作者: IRK 時間: 2025-3-29 09:43 作者: 門閂 時間: 2025-3-29 14:54
Estimating Bacterial Diversity from Environmental DNA: A Maximum Likelihood Approach, rather than using hand-fit models as in [2]. We assume four species abundance distributions, then maximize the likelihood of fitting the coverage depth at different positions of the consensus sequence provided in the Sargasso Sea sample. The resulting estimates match well with those obtained using less mathematically rigorous approaches.作者: 胖人手藝好 時間: 2025-3-29 16:48 作者: obstinate 時間: 2025-3-29 22:19
GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters, according to their similarity of expression under different conditions. However, it is often the case that some genes behave similarly only on a subset of conditions and their behavior is uncorrelated over the rest of the conditions. As traditional clustering methods will fail to identify such gene作者: FLIC 時間: 2025-3-30 01:03
Significance Analysis of Time-Course Gene Expression Profiles,pendent gene expression profiles by autoregressive equations plus Gaussian noises, and time-independent gene expression profiles by constant numbers plus Gaussian noises. The statistical F-testing for regression analysis is used to calculate the confidence probability (significance level) that a tim作者: addition 時間: 2025-3-30 04:55 作者: Glower 時間: 2025-3-30 10:43
Efficiently Finding the Most Parsimonious Phylogenetic Tree Via Linear Programming,nts of this problem, new advances in phylogeny inference will be required if we are to be able to continue to make effective use of the rapidly growing stores of variation data now being gathered. In this paper, we introduce an integer linear programming formulation to find the most parsimonious phy作者: MERIT 時間: 2025-3-30 12:23
A Multi-Stack Based Phylogenetic Tree Building Method,e having same number of leaves) into limited priority queues, always selecting the .-best subtrees, according to their distance estimation error. Using the .-best subtrees our method iteratively applies a novel subtree joining strategy to generate candidate higher level subtrees from the existing lo作者: agnostic 時間: 2025-3-30 17:42
A New Linear-Time Heuristic Algorithm for Computing the Parsimony Score of Phylogenetic Networks: Togenies have been proposed, almost all of which assume that the underlying history of a given set of species can be represented by a binary tree. Although many biological processes can be effectively modeled and summarized in this fashion, others cannot: recombination, hybrid speciation, and horizon作者: LAPSE 時間: 2025-3-30 23:17
A Bootstrap Correspondence Analysis for Factorial Microarray Experiments with Replications,s well accepted in microarray studies. To date, the only statistical method for analyzing microarray data obtained using factorial design has been the analysis of variance (ANOVA) model which is a gene by gene approach and relies on multiple assumptions. We introduce a multivariate approach, the boo作者: Banister 時間: 2025-3-31 02:11 作者: 實(shí)現(xiàn) 時間: 2025-3-31 05:18
Ranking Function Based on Higher Order Statistics (RF-HOS) for Two-Sample Microarray Experiments,y expressed genes. Traditional ranking functions assume a data distribution (e.g., Normal) and use only first two cumulants for statistical significance analysis. Ranking functions based on second order statistics are often inadequate in ranking small sampled data (e.g., Microarray data). Also, rela作者: triptans 時間: 2025-3-31 12:15 作者: 不朽中國 時間: 2025-3-31 14:29
Algorithm for Haplotype Inferring Via Galled-Tree Networks with Simple Galls,ts of SNP values on individual chromosomes since such information captures the genetic causes of diseases. Present algorithmic tools for haplotyping make effective use of phylogenetic trees. Here the underlying assumption is that recombinations are not present, an assumption based on experimental re作者: 人類的發(fā)源 時間: 2025-3-31 21:29
Estimating Bacterial Diversity from Environmental DNA: A Maximum Likelihood Approach, a method of estimating diversity from an environmental sample of DNA and apply it to data taken from samples from the Sargasso Sea. Our approach combines the coverage depth method of Venter .. [2] and the contig spectrum approach of Angly .. [4], but uses maximum likelihood to recover the diversity作者: 胡言亂語 時間: 2025-3-31 21:47 作者: 多嘴 時間: 2025-4-1 04:52
Discovering Relations Among GO-Annotated Clusters by Graph Kernel Methods, to perform clustering and then compute a functional characterization via enrichments by Gene Ontology terms [1]. To better assist the interpretation of results, it may be useful to establish connections among different clusters. This machine learning step is sometimes termed ., and several approach作者: 控制 時間: 2025-4-1 09:42 作者: Vsd168 時間: 2025-4-1 12:52 作者: Deceit 時間: 2025-4-1 18:03
An Adaptive Resolution Tree Visualization of Large Influenza Virus Sequence Datasets, be represented in an easy-to-comprehend form and allow convenient manipulation of the data..We developed an adaptive approach to visualization of large sequence datasets on the web. A dataset is presented in an aggregated tree form with special representation of sub-scale details. The representatio作者: 饑荒 時間: 2025-4-1 20:21
Wavelet Image Interpolation (WII): A Wavelet-Based Approach to Enhancement of Digital Mammography Int of the microcalcifications, as well as morphological features of individual microcalcifications. We have developed state-of-the-art wavelet-based methods to enhance the resolution of microcalcifications visible on digital mammograms, aimed at improving the specificity of breast cancer diagnoses. 作者: 刺耳 時間: 2025-4-2 02:35 作者: MURKY 時間: 2025-4-2 04:52
https://doi.org/10.1007/978-3-642-94197-9ich also plays an important role in the discovery of responsive genes while variance alone is not appropriate because of nonuniform noise variance across genes. Hence, we propose a novel . which effectively combines smoothness and variance of gene expression time-course. We demonstrate that dSEVRaT 作者: BRAVE 時間: 2025-4-2 09:15 作者: propose 時間: 2025-4-2 14:42
,Der ged?mpfte harmonische Oszillator,n (BIC). This framework can incorporate most clustering algorithms and improve their performance. In this study we illustrate the effectiveness of this platform by incorporating the standard K-Means and the Quantum Clustering algorithms. The implementations are applied to several gene-expression ben
