標(biāo)題: Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 6th International Me Francesco Masulli,Leif E. Peterson,Roberto Ta [打印本頁(yè)] 作者: 螺絲刀 時(shí)間: 2025-3-21 18:18
書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics影響因子(影響力)
書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics影響因子(影響力)學(xué)科排名
書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics網(wǎng)絡(luò)公開度
書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics被引頻次
書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics被引頻次學(xué)科排名
書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics年度引用
書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics年度引用學(xué)科排名
書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics讀者反饋
書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics讀者反饋學(xué)科排名
作者: Adenoma 時(shí)間: 2025-3-21 20:34
https://doi.org/10.1007/978-3-476-99314-4genetic algorithms is not new, the presented approach differs in the representation of the multiple alignment and in the simplicity of the genetic operators. The results so far obtained are reported and discussed in this paper.作者: MURAL 時(shí)間: 2025-3-22 00:43 作者: 舉止粗野的人 時(shí)間: 2025-3-22 06:34 作者: 心痛 時(shí)間: 2025-3-22 09:27
,Kurzl?sungen zu den übungsaufgaben,nsional matrix, SVD may be very expensive in terms of computational time. We propose to reduce the SVD task to the ordinary maximisation problem with an Euclidean norm which may be solved easily using gradient-based optimisation. We demonstrate the effectiveness of this approach to the supervised classification of gene expression data.作者: slow-wave-sleep 時(shí)間: 2025-3-22 13:08 作者: slow-wave-sleep 時(shí)間: 2025-3-22 17:18
Penalized Principal Component Analysis of Microarray Datansional matrix, SVD may be very expensive in terms of computational time. We propose to reduce the SVD task to the ordinary maximisation problem with an Euclidean norm which may be solved easily using gradient-based optimisation. We demonstrate the effectiveness of this approach to the supervised classification of gene expression data.作者: 珍奇 時(shí)間: 2025-3-22 23:37
Searching a Multivariate Partition Space Using MAX-SATthis method can be used to fully search the space of partitions in smaller problems and how it can be used to enhance the performance of more familiar algorithms in large problems. We illustrate our method on clustering of time-course microarray experiments.作者: Small-Intestine 時(shí)間: 2025-3-23 02:54
Andreas Kurtenbach,Andreas Kreino simulate a model of the studied biological system but also to deduce the sets of parameter values that lead to a behaviour compatible with the biological knowledge (or hypotheses) about dynamics. This approach is based on formal logic. It is illustrated in the discrete modelling framework of genetic regulatory networks due to René Thomas.作者: CUMB 時(shí)間: 2025-3-23 08:07
Kleineinzugsgebiete im Mittelgebirgeclassification algorithm to the classes of interacting and noninteracting proteins. Results show that it is possible to achieve high prediction accuracy in cross validation. A case study is analyzed to show it is possible to reconstruct a real network of thousands interacting proteins with high accuracy on standard hardware.作者: 遠(yuǎn)足 時(shí)間: 2025-3-23 11:52 作者: 無能力之人 時(shí)間: 2025-3-23 14:48
https://doi.org/10.1007/978-3-476-04129-6novel approach to biclustering gene expression data based on Modular Singular Value Decomposition (Mod-SVD). Instead of applying SVD directly on on data matrix, the proposed approach computes SVD on modular fashion. Experiments conducted on synthetic and real dataset demonstrated the effectiveness of the algorithm in gene expression data.作者: 哺乳動(dòng)物 時(shí)間: 2025-3-23 20:21 作者: Hypomania 時(shí)間: 2025-3-24 00:34
Nichtlineare Gleichungssysteme,g capabilities, advanced text classification and clustering algorithms, robust information extraction components based on qualitative and quantitative keyword extraction methods and exploitation of lexical knowledge bases for semantic text processing.作者: 描述 時(shí)間: 2025-3-24 04:43 作者: Toxoid-Vaccines 時(shí)間: 2025-3-24 08:37
Stoff-, Motiv- und Symbolforschungrocedure in data integration. In order to illustrate the proposed approach we present a case study considering sequences and microarray data from fungi species. We also focus on the interpretation of the results with respect to the problem of experimental and biological noise.作者: BLOT 時(shí)間: 2025-3-24 14:24
Stoff-, Motiv- und Symbolforschungished with a measure of quality defined in terms of Least Square error and a graphical visualization is provided in order to make immediately interpretable the result. Numerical experiments are carried out on both synthetic and real data-sets.作者: 戰(zhàn)勝 時(shí)間: 2025-3-24 18:22 作者: 存在主義 時(shí)間: 2025-3-24 22:13 作者: organic-matrix 時(shí)間: 2025-3-25 01:00 作者: overture 時(shí)間: 2025-3-25 03:34 作者: ticlopidine 時(shí)間: 2025-3-25 08:02 作者: 傷心 時(shí)間: 2025-3-25 13:12 作者: landfill 時(shí)間: 2025-3-25 18:46
Predicting Protein-Protein Interactions with K-Nearest Neighbors Classification Algorithmclassification algorithm to the classes of interacting and noninteracting proteins. Results show that it is possible to achieve high prediction accuracy in cross validation. A case study is analyzed to show it is possible to reconstruct a real network of thousands interacting proteins with high accuracy on standard hardware.作者: 大火 時(shí)間: 2025-3-25 20:11
Projection Based Clustering of Gene Expression Datae Principal Component Analysis. In this paper, we investigate the application of recently proposed projection based hierarchical clustering algorithms on gene expression microarray data. The algorithms apart from identifying the clusters present in a data set also calculate their number and thus require no special knowledge about the data.作者: Pulmonary-Veins 時(shí)間: 2025-3-26 02:27 作者: granite 時(shí)間: 2025-3-26 05:55 作者: –scent 時(shí)間: 2025-3-26 11:12 作者: FLAX 時(shí)間: 2025-3-26 14:16 作者: jungle 時(shí)間: 2025-3-26 17:03 作者: 小淡水魚 時(shí)間: 2025-3-26 21:43
Non-parametric MANOVA Methods for Detecting Differentially Expressed Genes in Real-Time RT-PCR Experxpression variation across groups of treatment..Because of the non-normal distribution of data, non-parametric methods based on the MANOVA approach and the use of permutations to obtain global F-ratio tests have been proposed to deal with this problem. The issue of analyzing univariate contrasts is 作者: 偶像 時(shí)間: 2025-3-27 01:47 作者: Thyroxine 時(shí)間: 2025-3-27 08:35
Penalized Principal Component Analysis of Microarray Data the validity of the analytical results. Hence attention has to be given to some form of dimension reduction to represent the data in terms of a smaller number of variables. The latter are often chosen to be a linear combinations of the original variables (genes) called metagenes. One commonly used 作者: 序曲 時(shí)間: 2025-3-27 10:24
An Information Theoretic Approach to Reverse Engineering of Regulatory Gene Networks from Time–Courslations. Several methods have been developed to infer gene networks from steady-state data, much less literature is produced about time-course data, so the development of algorithms to infer gene networks from time-series measurements is a current challenge into bioinformatics research area. In orde作者: Inflamed 時(shí)間: 2025-3-27 17:24
On the Use of Temporal Formal Logic to Model Gene Regulatory Networksn graph between molecules is known, the deduction of the cellular dynamics from this graph remains a strong corner stone of the modelling activity, in particular one has to face the parameter identification problem. This article is devoted to convince the reader that computers can be used not only t作者: GRAIN 時(shí)間: 2025-3-27 20:54 作者: NAVEN 時(shí)間: 2025-3-27 23:55 作者: 碎石頭 時(shí)間: 2025-3-28 04:19
Microarray Data Analysis via Weighted Indices and Weighted Majority Gamese of genetic diseases (especially tumors). A microarray game is for short an average of unanimity games, where each game corresponds to a patient: the underlying assumption is that the . of the abnormally expressed genes is, as a whole, responsible for the disease in each patient, and thus is global作者: 帽子 時(shí)間: 2025-3-28 07:30
Combining Replicates and Nearby Species Data: A Bayesian Approachspecies as a monadic source of data when replicated experiments are available or, viceversa, should we try to collect information from the large number of nearby species analyzed in the different laboratories? In this paper we make and justify the observation that experimental replicates and phyloge作者: 最高峰 時(shí)間: 2025-3-28 11:46 作者: considerable 時(shí)間: 2025-3-28 16:57
Multiple Clustering Solutions Analysis through Least-Squares Consensus Algorithmsr, different clustering algorithms applied to the same data-set produce different solutions. In many applications the problem of multiple solutions becomes crucial and providing a limited group of good clusterings is often more desirable than a single solution. In this work we propose the Least Squa作者: 尾隨 時(shí)間: 2025-3-28 20:41
Projection Based Clustering of Gene Expression Dataless, the tremendous amount of data that can be obtained from microarray studies presents a challenge for data analysis, mainly due to the very high data dimensionality. A particular class of clustering algorithms has been very successful in dealing with such data, utilising information driven by th作者: inculpate 時(shí)間: 2025-3-29 01:27
Searching a Multivariate Partition Space Using MAX-SATe highest scoring (MAP) partition is usually impossible. Therefore, both deterministic or random search algorithms traverse only a small proportion of partitions of a large dataset. The main contribution of this paper is to encode the formal Bayes factor search on partitions as a weighted MAX-SAT pr作者: 錯(cuò)事 時(shí)間: 2025-3-29 03:29 作者: 送秋波 時(shí)間: 2025-3-29 07:51 作者: 邪惡的你 時(shí)間: 2025-3-29 14:29 作者: 群島 時(shí)間: 2025-3-29 18:06
Computational Intelligence Methods for Bioinformatics and Biostatistics978-3-642-14571-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: FICE 時(shí)間: 2025-3-29 19:47 作者: 松果 時(shí)間: 2025-3-30 03:37
Francesco Masulli,Leif E. Peterson,Roberto TagliafUnique visibility, state-of-the-art survey,.fast-track conference proceedings作者: adipose-tissue 時(shí)間: 2025-3-30 07:05 作者: Melanoma 時(shí)間: 2025-3-30 12:08 作者: 溫和女孩 時(shí)間: 2025-3-30 12:25 作者: browbeat 時(shí)間: 2025-3-30 18:45 作者: 憲法沒有 時(shí)間: 2025-3-31 00:47 作者: Expostulate 時(shí)間: 2025-3-31 01:39 作者: Scintillations 時(shí)間: 2025-3-31 06:34 作者: 細(xì)胞膜 時(shí)間: 2025-3-31 11:27
,Kurzl?sungen zu den übungsaufgaben,xpression variation across groups of treatment..Because of the non-normal distribution of data, non-parametric methods based on the MANOVA approach and the use of permutations to obtain global F-ratio tests have been proposed to deal with this problem. The issue of analyzing univariate contrasts is 作者: 割讓 時(shí)間: 2025-3-31 14:17 作者: SCORE 時(shí)間: 2025-3-31 17:45
,Kurzl?sungen zu den übungsaufgaben, the validity of the analytical results. Hence attention has to be given to some form of dimension reduction to represent the data in terms of a smaller number of variables. The latter are often chosen to be a linear combinations of the original variables (genes) called metagenes. One commonly used 作者: 捏造 時(shí)間: 2025-3-31 23:06 作者: 慢慢流出 時(shí)間: 2025-4-1 02:19 作者: infinite 時(shí)間: 2025-4-1 09:00
