標(biāo)題: Titlebook: Bioinformatics Research and Development; First International Sepp Hochreiter,Roland Wagner Conference proceedings 2007 Springer-Verlag Ber [打印本頁] 作者: interleukins 時(shí)間: 2025-3-21 16:28
書目名稱Bioinformatics Research and Development影響因子(影響力)
書目名稱Bioinformatics Research and Development影響因子(影響力)學(xué)科排名
書目名稱Bioinformatics Research and Development網(wǎng)絡(luò)公開度
書目名稱Bioinformatics Research and Development網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Bioinformatics Research and Development被引頻次
書目名稱Bioinformatics Research and Development被引頻次學(xué)科排名
書目名稱Bioinformatics Research and Development年度引用
書目名稱Bioinformatics Research and Development年度引用學(xué)科排名
書目名稱Bioinformatics Research and Development讀者反饋
書目名稱Bioinformatics Research and Development讀者反饋學(xué)科排名
作者: 野蠻 時(shí)間: 2025-3-21 20:15 作者: CLAIM 時(shí)間: 2025-3-22 01:02 作者: overbearing 時(shí)間: 2025-3-22 05:11 作者: exophthalmos 時(shí)間: 2025-3-22 11:19
,übung macht den Loser zum Winner,act under the experimental conditions studied [1, 2]. Learning such networks, and unravelling the knowledge hidden within them is important for drug targets and to understand the basis of disease. In this paper, we analyse microarray gene expression data from. to extract Bayesian belief networks (BB作者: FIN 時(shí)間: 2025-3-22 15:30 作者: Chipmunk 時(shí)間: 2025-3-22 21:03 作者: 男生如果明白 時(shí)間: 2025-3-23 01:18
,übung macht den Loser zum Winner,n patterns. Using a novel process whereby generated patterns are used to probe spatially-mapped gene expression domains, we are able to get unbiased results as opposed to using annotations based predefined anatomy regions. We describe two processes to form association rules based on spatial configur作者: Hectic 時(shí)間: 2025-3-23 04:18
Oliver Romberg,Nikolaus Hinrichsxist that assign patients to different risk classes based on expression profiles of their tumor. However, predictions of actual survival times in years for the individual patient, together with confidence intervals on the predictions made, would provide a far more detailed view, and could aid the cl作者: 溫和女人 時(shí)間: 2025-3-23 07:34 作者: arboretum 時(shí)間: 2025-3-23 12:27 作者: subordinate 時(shí)間: 2025-3-23 16:32 作者: 胎兒 時(shí)間: 2025-3-23 20:41
Keine Panik vor Regelungstechnik!r autosomal satellite-DNA sequences. In the present paper, we re-analyze the same set of sequences by using the satDNA Analyzer 1.2 software, specifically developed by us for analysis of satellite DNA evolution. We do not only confirm our previous findings but also prove that the satDNA Analyzer 1.2作者: 沖突 時(shí)間: 2025-3-23 23:26
Karl-Dieter Tieste,Oliver Romberghard or crisp as they partition a dataset into strictly disjoint subsets; and thus are not suitable for the clustering of chemical structures exhibiting more than one activity. Although, fuzzy clustering algorithms such as fuzzy c-means provides an inherent mechanism for the clustering of overlappin作者: Ablation 時(shí)間: 2025-3-24 04:51 作者: MAOIS 時(shí)間: 2025-3-24 06:55
,Wir kriegen Zust?nde: Der Zustandsraum,s a challenging task. Biologically important questions include: what network components are responsible for the various dynamical behaviors that arise? can the underlying dynamical behavior be essentially attributed to a small number of modules? In this paper, we demonstrate that inverse bifurcation作者: 影響 時(shí)間: 2025-3-24 13:15 作者: Prognosis 時(shí)間: 2025-3-24 16:35 作者: 注視 時(shí)間: 2025-3-24 19:45
Markus Oestreich,Oliver Romberg simple representation of protein sequences, which uses the evolutionary information of profiles for efficient remote homology detection. The frequency profiles are directly calculated from the multiple sequence alignments outputted by PSI-BLAST and converted into binary profiles with a probability 作者: 即席 時(shí)間: 2025-3-25 00:44 作者: 引起 時(shí)間: 2025-3-25 03:53
Kombiniere, Dr. Watson - Kombinatorik their performance on DNA sequences are reported. The algorithms basically generalize the Aho–Corasick, filtration, and superalphabet techniques of string matching to the scoring matrix search. As compared to the naive search, our algorithms can be faster by a factor which is proportional to the len作者: Infinitesimal 時(shí)間: 2025-3-25 08:22 作者: 光亮 時(shí)間: 2025-3-25 14:40 作者: 無目標(biāo) 時(shí)間: 2025-3-25 17:09 作者: Bumble 時(shí)間: 2025-3-25 21:12
Alles in Bewegung: Kinematik und Kinetik,rovides a model which describes continuously the transcriptional variation throughout the IDC. Such a computational model can then be used to comprehensively analyse the molecular behaviour over time including the identification of relevant genes at any chosen time point.作者: craving 時(shí)間: 2025-3-26 01:31 作者: Cognizance 時(shí)間: 2025-3-26 07:18 作者: reflection 時(shí)間: 2025-3-26 11:24 作者: Flatus 時(shí)間: 2025-3-26 13:25 作者: CANDY 時(shí)間: 2025-3-26 17:52 作者: Obscure 時(shí)間: 2025-3-26 21:42
Biological Sequences Encoding for Supervised Classificationaction. We also propose to improve one of these methods and we carry out a comparative study which takes into account, of course, the effect of each method on the classification accuracy but also the number of generated attributes and the CPU time.作者: 宮殿般 時(shí)間: 2025-3-27 04:36 作者: 有害 時(shí)間: 2025-3-27 07:23 作者: Meager 時(shí)間: 2025-3-27 09:58
0302-9743 ence held in Berlin, Germany during March 12-14, 2007. BIRD covers a wide range of topics related to bioinformatics like microarray data, genomics, single nucleotide polymorphism, sequence analysis, systems biology, medical applications, proteomics, information systems. The conference was very compe作者: 口訣法 時(shí)間: 2025-3-27 16:18
,übung macht den Loser zum Winner,esults as opposed to using annotations based predefined anatomy regions. We describe two processes to form association rules based on spatial configurations, one that associates spatial regions, the other associates genes.作者: violate 時(shí)間: 2025-3-27 18:58
Mining Spatial Gene Expression Data for Association Rulesesults as opposed to using annotations based predefined anatomy regions. We describe two processes to form association rules based on spatial configurations, one that associates spatial regions, the other associates genes.作者: Encephalitis 時(shí)間: 2025-3-28 01:34 作者: Ligneous 時(shí)間: 2025-3-28 03:24
,übung macht den Loser zum Winner,traction technique, target node (TN) analysis. We also show how quantitative and qualitative information captured within the BBN can be used to simulate the nature of interaction between genes. The GRN extracted was validated against literature and genomic databases, and found to be in excellent agreement.作者: 享樂主義者 時(shí)間: 2025-3-28 08:53
Oliver Romberg,Nikolaus Hinrichsknowledge such as known pathways. We compare the performance in identifying SNP interactions associated with the case-control status of the three logic regression based methods and stepwise logistic regression in a simulation study and in a study of breast cancer.作者: CODE 時(shí)間: 2025-3-28 11:36
,Wir kriegen Zust?nde: Der Zustandsraum,, can be used to identify small sets of ”influential” submodules and parameters within a given network. In addition, hierarchical strategies can be used to generate parameter solutions of increasing cardinality of non-zero entries. We apply the proposed methods to analyze a model of the mammalian ../. regulatory module.作者: CAJ 時(shí)間: 2025-3-28 16:40 作者: Petechiae 時(shí)間: 2025-3-28 21:27 作者: 不整齊 時(shí)間: 2025-3-29 01:15
Inverse Bifurcation Analysis of a Model for the Mammalian , ,/, Regulatory Module, can be used to identify small sets of ”influential” submodules and parameters within a given network. In addition, hierarchical strategies can be used to generate parameter solutions of increasing cardinality of non-zero entries. We apply the proposed methods to analyze a model of the mammalian ../. regulatory module.作者: ostensible 時(shí)間: 2025-3-29 06:54
0302-9743 periments for investigating disease pathogenesis, was very inspiring and gave new insights into future bioinformatics challenges.978-3-540-71232-9978-3-540-71233-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Inveterate 時(shí)間: 2025-3-29 08:04
Bayesian Inference of Gene Regulatory Networks Using Gene Expression Time Series Datachical prior distribution over interaction strenghts favours sparse networks, enabling the method to efficiently deal with small datasets..Results on a simulated dataset show that our method correctly learns network structure and model parameters even for short time series. Furthermore, we are able 作者: 同步信息 時(shí)間: 2025-3-29 13:56 作者: 陳列 時(shí)間: 2025-3-29 19:20
Individualized Predictions of Survival Time Distributions from Gene Expression Data Using a Bayesianh, combining a Cox regression model with a hierarchical prior distribution on the regression parameters for feature selection. This prior enables the method to efficiently deal with the low sample number, high dimensionality setting characteristic of microarray datasets. We then sample from the post作者: maculated 時(shí)間: 2025-3-29 20:03 作者: 縫紉 時(shí)間: 2025-3-30 01:52 作者: 打折 時(shí)間: 2025-3-30 05:39
satDNA Analyzer 1.2 as a Valuable Computing Tool for Evolutionary Analysis of Satellite-DNA Familiesre since every utility is automatized and collected in a single software package, so the user does not need to use different programs. Additionally, it significantly reduces the rate of data miscalculations due to human errors, very prone to occur specially in large files.作者: 不公開 時(shí)間: 2025-3-30 08:58
A Soft Hierarchical Algorithm for the Clustering of Multiple Bioactive Chemical Compounds-determined threshold, into two sub clusters based on the membership values of each structure. A structure is assigned to one or both the clusters if its membership value is very high or very similar respectively. The performance of the algorithm is evaluated on two bench mark datasets and a large d作者: 誘導(dǎo) 時(shí)間: 2025-3-30 15:24 作者: Muscularis 時(shí)間: 2025-3-30 19:48
Weighted Cohesiveness for Identification of Functional Modules and Their Interconnectivitythe results compared to previous work where only two of the GO aspects (molecular function and biological process) were combined. We here evaluate the predicted modules by calculating their overlap with MIPS functional complexes. In addition, we identify the “most frequent” proteins, i.e. the protei作者: CLOUT 時(shí)間: 2025-3-30 22:17
Protein Remote Homology Detection Based on Binary Profilese processing, namely, the latent semantic analysis model. Testing on the SCOP 1.53 database shows that the method based on binary profiles outperforms those based on many other basic building blocks including N-grams, patters and motifs. The ROC50 score is 0.698, which is higher than other methods b作者: 新字 時(shí)間: 2025-3-31 03:36
Oliver Romberg,Nikolaus Hinrichschical prior distribution over interaction strenghts favours sparse networks, enabling the method to efficiently deal with small datasets..Results on a simulated dataset show that our method correctly learns network structure and model parameters even for short time series. Furthermore, we are able 作者: 宿醉 時(shí)間: 2025-3-31 06:40 作者: 毗鄰 時(shí)間: 2025-3-31 11:54
Oliver Romberg,Nikolaus Hinrichsh, combining a Cox regression model with a hierarchical prior distribution on the regression parameters for feature selection. This prior enables the method to efficiently deal with the low sample number, high dimensionality setting characteristic of microarray datasets. We then sample from the post作者: Agility 時(shí)間: 2025-3-31 15:29
Oliver Romberg,Nikolaus Hinrichsmental PDFs and quantitative analysis of dimension and shape of probed 3D chromatin regions. Preliminary results of our numerical simulations show that the proposed numerical model is capable to reproduce experimental observations, and support the assumption of confined random folding of 3D chromati作者: critic 時(shí)間: 2025-3-31 18:33
Karl-Dieter Tieste,Oliver Rombergram. The results from search methods were screened out using non-parametric binomial distribution test and compared with the binding structure from explicit molecular dynamic simulation. Both complexes from statistical selected docking simulation were found to be comparable with those from X-ray dif作者: obligation 時(shí)間: 2025-3-31 22:15
Keine Panik vor Regelungstechnik!re since every utility is automatized and collected in a single software package, so the user does not need to use different programs. Additionally, it significantly reduces the rate of data miscalculations due to human errors, very prone to occur specially in large files.作者: landmark 時(shí)間: 2025-4-1 02:25 作者: 察覺 時(shí)間: 2025-4-1 06:56 作者: phytochemicals 時(shí)間: 2025-4-1 11:20
Karl-Dieter Tieste,Oliver Rombergthe results compared to previous work where only two of the GO aspects (molecular function and biological process) were combined. We here evaluate the predicted modules by calculating their overlap with MIPS functional complexes. In addition, we identify the “most frequent” proteins, i.e. the protei
