標(biāo)題: Titlebook: Data Mining and Bioinformatics; First International Mehmet M. Dalkilic,Sun Kim,Jiong Yang Conference proceedings 2006 Springer-Verlag Berl [打印本頁(yè)] 作者: 貶損 時(shí)間: 2025-3-21 19:13
書(shū)目名稱(chēng)Data Mining and Bioinformatics影響因子(影響力)
書(shū)目名稱(chēng)Data Mining and Bioinformatics影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Data Mining and Bioinformatics網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Data Mining and Bioinformatics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Data Mining and Bioinformatics被引頻次
書(shū)目名稱(chēng)Data Mining and Bioinformatics被引頻次學(xué)科排名
書(shū)目名稱(chēng)Data Mining and Bioinformatics年度引用
書(shū)目名稱(chēng)Data Mining and Bioinformatics年度引用學(xué)科排名
書(shū)目名稱(chēng)Data Mining and Bioinformatics讀者反饋
書(shū)目名稱(chēng)Data Mining and Bioinformatics讀者反饋學(xué)科排名
作者: 防止 時(shí)間: 2025-3-21 20:59 作者: Engulf 時(shí)間: 2025-3-22 01:12
Color Atlas of Burn Reconstructive Surgeryand performs prediction process for each fragment. A few computational models were implemented to detect signal patterns and their scanning efficiency was evaluated. Based on a few criteria, its prediction performance was compared with that of a few commonly used programs, GeneID and Morgan.作者: minaret 時(shí)間: 2025-3-22 06:17 作者: 安撫 時(shí)間: 2025-3-22 10:14 作者: HERTZ 時(shí)間: 2025-3-22 14:53
Subspace Clustering of Microarray Data Based on Domain Transformation,nt on the number of genes. Based on the symbolic representations of genes, we present an efficient subspace clustering algorithm that is scalable to the number of dimensions. In addition, the running time can be drastically reduced by utilizing inverted index and pruning non-interesting subspaces. E作者: HERTZ 時(shí)間: 2025-3-22 20:05
Automatic Annotation of Protein Functional Class from Sparse and Imbalanced Data Sets,can be overcome with standard feature and instance selection methods. We also present a meta-learning scheme that utilizes multiple SVMs trained for each GO term, resulting in improved overall performance than either SVM can achieve alone. The implementation of the tool is available at http://fcg.ta作者: Antecedent 時(shí)間: 2025-3-23 00:55 作者: Condense 時(shí)間: 2025-3-23 04:47 作者: CHARM 時(shí)間: 2025-3-23 06:38 作者: Cocker 時(shí)間: 2025-3-23 11:29 作者: 坦白 時(shí)間: 2025-3-23 14:26
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/262925.jpg作者: Insatiable 時(shí)間: 2025-3-23 21:43
A History of Survival and Resiliencethis trend is set to transform the practice of science in our lifetimes. Conversely, biological systems are a rich source of ideas that will transform the future of computing..In addition to supporting academic research in the life sciences, Microsoft Research is a source of tools and technologies w作者: BIBLE 時(shí)間: 2025-3-24 00:45 作者: Redundant 時(shí)間: 2025-3-24 05:36 作者: 大暴雨 時(shí)間: 2025-3-24 09:14
Nate Probasco,Estelle Paranque,Claire Jowittarious libraries for the same class. Most studies have not accounted for the within-class variability. The identification of the differentially expressed genes based on the class separation has not been easy because of heteroscedasticity of libraries.We propose a hierarchical Bayesian model that acc作者: 鬧劇 時(shí)間: 2025-3-24 13:43
Nate Probasco,Estelle Paranque,Claire Jowittmuch attention in recent years. Machine learning algorithms such as support vector machines (SVM) are ideal for microarray data due to its high classification accuracies. However, sometimes the information being sought is a list of genes which best separates the classes, and not a classification rat作者: 多余 時(shí)間: 2025-3-24 15:46
The Naga Identity and Naga Nationalismiteratures grows exponentially in various publication databases. The objective of this paper is to quickly identify useful publications from a large number of biological documents. In this paper, we introduce a new iterative search paradigm that integrates biomedical background knowledge in organizi作者: Devastate 時(shí)間: 2025-3-24 22:34
The Formation of Modern Naga Identityarge sets of genes. The Gene Ontology (GO) provides a common controlled vocabulary for describing gene function however the process for annotating proteins with GO terms is usually through a tedious manual curation process by trained professional annotators. With the wealth of genomic data that are 作者: 拘留 時(shí)間: 2025-3-24 23:39
https://doi.org/10.1007/978-3-540-71217-6istributed autonomous resources. Current approaches to integrating heterogeneous bioinformatics data sources are based on one of a: common field, ontology or cross-reference. In this paper we investigate the use of semantic relationships across species to link, integrate and annotate genes from publ作者: chemoprevention 時(shí)間: 2025-3-25 04:31
https://doi.org/10.1007/978-1-4471-1375-1y increasing. We propose an SBML data management system (SMS) on top of an object database. Since the object database supports abundant data types like multi-valued attributes and object references, mapping from the SBML documents into the object database is straightforward. We adopt the event-based作者: accrete 時(shí)間: 2025-3-25 08:35
Inferior Oblique Muscle Weakening Proceduresiologists often struggle deciding how to do next with a large list of genes without any obvious theme of mechanism, partly because most statistical analyses do not incorporate understanding of biological systems before hand. Here, we developed a novel method of “gene –pair difference within a sample作者: mettlesome 時(shí)間: 2025-3-25 12:25
Kenneth W. Wright,Yi Ning J. Strubeber of algorithms that had been developed for mining frequent closed patterns, their running time increased exponentially with the average length of the transactions increasing. Therefore, most current methods for high-dimensional gene expression datasets were impractical. In this paper, we proposed作者: CHURL 時(shí)間: 2025-3-25 17:47
https://doi.org/10.1007/978-1-4939-1480-7he microRNAs precursors (pre-miRNAs). How to encode their hairpin structures is a critical step to correctly detect the pre-miRNAs from background sequences, i.e., pseudo miRNA precursors. In this paper, we have proposed to encode the hairpin structures of the pre-miRNA with a set of features, which作者: 有害處 時(shí)間: 2025-3-25 23:46
Color Atlas of Burn Reconstructive Surgeryeatly affects gene analysis and genome annotation. As the gene structure of eukaryotes is much more complicated than that of prokaryotic genes, eukaryotic gene structure prediction should have more diverse and more complicated computational models. We have developed GeneChaser, a gene structure pred作者: conjunctivitis 時(shí)間: 2025-3-26 01:10 作者: 一回合 時(shí)間: 2025-3-26 04:33 作者: Preamble 時(shí)間: 2025-3-26 11:49 作者: 強(qiáng)化 時(shí)間: 2025-3-26 14:23 作者: vasospasm 時(shí)間: 2025-3-26 19:16
978-3-540-68970-6Springer-Verlag Berlin Heidelberg 2006作者: 有危險(xiǎn) 時(shí)間: 2025-3-26 21:57 作者: 熱心 時(shí)間: 2025-3-27 03:19
Conference proceedings 2006ge Data Bases (VLDB). The purpose of this workshop was to begin bringing - gether researchersfrom database, data mining, and bioinformatics areas to help leverage respective successes in each to the others. We also hope to expose the richness, complexity, and challenges in this area that involves mi作者: 休息 時(shí)間: 2025-3-27 06:06
Health & Wealth, Population & Developmentmize the arbitrariness in cluster generation. Our experimental results on both synthetic dataset and real gene expression dataset show the applicability and usefulness of this approach in microarray data mining.作者: breadth 時(shí)間: 2025-3-27 10:22 作者: 主動(dòng)脈 時(shí)間: 2025-3-27 13:59 作者: 高爾夫 時(shí)間: 2025-3-27 20:10
https://doi.org/10.1007/978-1-4471-1375-1ormat (for data exchange) or in a visual graphs (for intuitive understanding). Real experiments show that our approach is superior to the one using conventional relational databases in the aspects of the modeling capability, storage requirements, and data quality.作者: 鞭打 時(shí)間: 2025-3-27 22:20 作者: restrain 時(shí)間: 2025-3-28 03:16 作者: Brittle 時(shí)間: 2025-3-28 09:33
https://doi.org/10.1007/978-1-4939-1480-7erved essential attributes decreases when the phylogenetic distance between the species increases. Specifically, one A-U pair, which produces the U at the start position of most mature miRNAs, in the pre-miRNAs is found to be well conserved in different species for the purpose of biogenesis.作者: 妨礙議事 時(shí)間: 2025-3-28 13:09 作者: 柏樹(shù) 時(shí)間: 2025-3-28 14:35
A Biological Text Retrieval System Based on Background Knowledge and User Feedback,approach. Experimental results on MEDLINE abstracts and different keyword inputs show that the system can filter a large number of irrelevant documents in a reasonable time while keeping most of the useful documents. The results also show that the system is robust against different inputs and parameter settings.作者: noxious 時(shí)間: 2025-3-28 22:43 作者: 滴注 時(shí)間: 2025-3-29 00:39
An Efficient Storage Model for the SBML Documents Using Object Databases,ormat (for data exchange) or in a visual graphs (for intuitive understanding). Real experiments show that our approach is superior to the one using conventional relational databases in the aspects of the modeling capability, storage requirements, and data quality.作者: ARCHE 時(shí)間: 2025-3-29 03:37
Identification of Phenotype-Defining Gene Signatures Using the Gene-Pair Matrix Based Clustering,ncy of occurrences a gene contributing to the within sample difference underline the contributions of genes in defining the biological states. We tested the method on three datasets, and identified the most important gene-pairs to drive the phenotypic differences.作者: Infusion 時(shí)間: 2025-3-29 08:17
TP+Close: Mining Frequent Closed Patterns in Gene Expression Datasets, on the transaction space. Moreover, TP+close combined efficient pruning and effective optimizing methods. Several experiments on real-life gene expression datasets showed that TP+close was faster than RERII and CARPENTER, two existing algorithms.作者: Forsake 時(shí)間: 2025-3-29 14:46
Exploring Essential Attributes for Detecting MicroRNA Precursors from Background Sequences,erved essential attributes decreases when the phylogenetic distance between the species increases. Specifically, one A-U pair, which produces the U at the start position of most mature miRNAs, in the pre-miRNAs is found to be well conserved in different species for the purpose of biogenesis.作者: 有毒 時(shí)間: 2025-3-29 18:29 作者: heterogeneous 時(shí)間: 2025-3-29 23:04
Nate Probasco,Estelle Paranque,Claire Jowitt with applying current decision tree implementations for high-dimensional data sets is their tendency to assign the same scores for multiple attributes. In this paper, we propose two distribution-dependant criteria for decision trees to improve their usefulness for microarray classification.作者: 悲痛 時(shí)間: 2025-3-30 00:52 作者: Onerous 時(shí)間: 2025-3-30 04:56
Bioinformatics at Microsoft Research,entific workflows, and biological visualization..Computer science researchers also bring new perspectives to problems in biology, such as the use of schema-matching techniques in merging ontologies, machine learning in vaccine design, and process algebra in understanding metabolic pathways.作者: 獸皮 時(shí)間: 2025-3-30 09:53
Applying Gaussian Distribution-Dependent Criteria to Decision Trees for High-Dimensional Microarray with applying current decision tree implementations for high-dimensional data sets is their tendency to assign the same scores for multiple attributes. In this paper, we propose two distribution-dependant criteria for decision trees to improve their usefulness for microarray classification.作者: 痛苦一生 時(shí)間: 2025-3-30 14:45 作者: 重畫(huà)只能放棄 時(shí)間: 2025-3-30 16:44
Nate Probasco,Estelle Paranque,Claire Jowittounts for the within-class variability. The differential expression is measured by a distribution-free silhouette width which was first introduced into the SAGE differential expression analysis. It is shown that the silhouette width is more appropriate and is easier to compute than the error rate.作者: 粗野 時(shí)間: 2025-3-30 23:38 作者: defray 時(shí)間: 2025-3-31 04:46 作者: 飲料 時(shí)間: 2025-3-31 06:02
Discovering Consensus Patterns in Biological Databases,l clustering algorithm makes it scalable and efficient. Experiments to discover motifs and tandem repeats on real biological databases show significant performance gain over non-progressive clustering techniques.作者: 停止償付 時(shí)間: 2025-3-31 12:32
Bioinformatics at Microsoft Research,this trend is set to transform the practice of science in our lifetimes. Conversely, biological systems are a rich source of ideas that will transform the future of computing..In addition to supporting academic research in the life sciences, Microsoft Research is a source of tools and technologies w作者: ARENA 時(shí)間: 2025-3-31 15:42
A Novel Approach for Effective Learning of Cluster Structures with Biological Data Applications,ne expression data in a systematic way. In particular, the problem of finding groups of co-expressed genes or samples has been largely investigated due to its usefulness in characterizing unknown gene functions or performing more sophisticated tasks, such as modeling biological pathways. Nevertheles作者: GENUS 時(shí)間: 2025-3-31 19:13
Subspace Clustering of Microarray Data Based on Domain Transformation, technologies, we focus our attention on gene expression datasets mining. In particular, given that genes are often co-expressed under subsets of experimental conditions, we present a novel subspace clustering algorithm. In contrast to previous approaches, our method is based on the observation that作者: 最初 時(shí)間: 2025-3-31 23:37 作者: 維持 時(shí)間: 2025-4-1 03:23
