標(biāo)題: Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 16th International M Paolo Cazzaniga,Daniela Besozzi,Luca Manzoni [打印本頁] 作者: Forbidding 時(shí)間: 2025-3-21 20:00
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
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書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics年度引用
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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: Hay-Fever 時(shí)間: 2025-3-21 20:22 作者: 手術(shù)刀 時(shí)間: 2025-3-22 02:30
,Zuf?llige Mengen — allgemeine Theorie,ty and infer reliable models of cancer evolution. We here build up on previous works on cancer progression inference from genomic alteration data, to deliver two distinct .-based applications, which allow to produce, visualize and manipulate cancer evolution models, also by interacting with public g作者: Assemble 時(shí)間: 2025-3-22 07:48
,Zuf?llige Mosaike und Ebenenprozesse,eters settings for a model is complex: the system is likely to be noisy, the data points may be sparse, and there may be many inter-related parameters. We apply computational intelligence and data mining techniques in novel ways to investigate this significant problem..We construct an original compu作者: 緯線 時(shí)間: 2025-3-22 11:34 作者: MAL 時(shí)間: 2025-3-22 15:19
Hans Weinrichter,Franz Hlawatsch methods reconstruct a single medical image to detect outliers either in the learned feature space or from high reconstruction loss. However, without considering continuity between multiple adjacent slices, they cannot directly discriminate diseases composed of the accumulation of subtle anatomical 作者: MAL 時(shí)間: 2025-3-22 19:03
Hans Weinrichter,Franz Hlawatschon the trade-off between the detection rate of outbreaks and the chances of raising a false alarm. Recent research has shown that the use of machine learning for the fusion of multiple statistical algorithms improves outbreak detection. Instead of relying only on the binary outputs (. or .) of the s作者: Obsessed 時(shí)間: 2025-3-23 00:59
Stochastische Differentialgleichungen,ylation) has become an invaluable source of information for assessing the expected performance of individual drugs and their combinations. Merging relevant information from the omics data modalities provides the statistical basis for determining suitable therapies for specific cancer patients. Diffe作者: Militia 時(shí)間: 2025-3-23 04:52
https://doi.org/10.1007/978-3-658-14132-5s on SpecFit, an optional module of the SpecOMS software. Because SpecOMS is particularly fast, SpecFit can be used within SpecOMS to further investigate spectra whose mass does not necessarily coincide with the mass of its corresponding peptide, and consequently to suggest modifications for these p作者: Mendicant 時(shí)間: 2025-3-23 06:14
Asymptotik integrierter Prozesseknowledge through data mining techniques. Symbolic aggregate approximation (SAX) is a state-of-the-art method that performs discretization and dimensionality reduction for univariate TS, which are key steps for TS representation and analysis. In this work, we propose MSAX, an extension of this algor作者: GREG 時(shí)間: 2025-3-23 12:35
Stochastische Differentialgleichungen (SDG)le. A graph-based multi-level representation of Hi-C data is essential for proper visualisation of the spatial pattern they represent, in particular for comparing different experiments or for re-mapping omics-data in a space-aware context. The size of the HiC data hampers the straightforward use of 作者: Peristalsis 時(shí)間: 2025-3-23 14:45
Asymptotik integrierter Prozesse areas such as computer vision, extensive testing and applications to clinical data, particularly in oncology, are still lacking. We applied this technique to synthetic and biomedical datasets, publicly available at The Cancer Genome Atlas (TCGA) and the UC Irvine Machine Learning Repository, to ide作者: Interstellar 時(shí)間: 2025-3-23 20:34
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232387.jpg作者: isotope 時(shí)間: 2025-3-24 00:07
https://doi.org/10.1007/978-3-030-63061-4bioinformatics; communication systems; computational biology; computer networks; computer systems; comput作者: 入會(huì) 時(shí)間: 2025-3-24 05:53 作者: Lumbar-Stenosis 時(shí)間: 2025-3-24 09:54
A Smartphone-Based Clinical Decision Support System for Tremor Assessment (ET). Classically, questionnaires like the ETRS and QUEST surveys have been used to assess tremor severity. Recently, attention around computerized tremor analysis has grown. In this study, we use regression trees to map the relationship between tremor data that is collected using the TREMOR12 smar作者: 有助于 時(shí)間: 2025-3-24 14:28 作者: 孵卵器 時(shí)間: 2025-3-24 15:03 作者: hurricane 時(shí)間: 2025-3-24 19:53
Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Querion of experimental data. These data cover a wide range of biological experiments derived from several sequencing strategies, producing a big amount of heterogeneous data. They are often linked to a set of related metadata that are essential to describe experiments and the analyzed samples, with als作者: Frenetic 時(shí)間: 2025-3-25 03:04 作者: Urologist 時(shí)間: 2025-3-25 07:18
Improving the Fusion of Outbreak Detection Methods with Supervised Learningon the trade-off between the detection rate of outbreaks and the chances of raising a false alarm. Recent research has shown that the use of machine learning for the fusion of multiple statistical algorithms improves outbreak detection. Instead of relying only on the binary outputs (. or .) of the s作者: 沉著 時(shí)間: 2025-3-25 10:09
Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank ylation) has become an invaluable source of information for assessing the expected performance of individual drugs and their combinations. Merging relevant information from the omics data modalities provides the statistical basis for determining suitable therapies for specific cancer patients. Diffe作者: 實(shí)現(xiàn) 時(shí)間: 2025-3-25 13:26 作者: 注射器 時(shí)間: 2025-3-25 19:51 作者: 噴油井 時(shí)間: 2025-3-25 20:49 作者: 培養(yǎng) 時(shí)間: 2025-3-26 03:13
Random Sample Consensus for the Robust Identification of Outliers in Cancer Data areas such as computer vision, extensive testing and applications to clinical data, particularly in oncology, are still lacking. We applied this technique to synthetic and biomedical datasets, publicly available at The Cancer Genome Atlas (TCGA) and the UC Irvine Machine Learning Repository, to ide作者: Enervate 時(shí)間: 2025-3-26 04:45
,Zuf?llige Mosaike und Ebenenprozesse,measures demonstrates the explorative nature of the genetic algorithm (useful in this parameter space to support the modeller). Correlations between parameters are drawn out that might otherwise be missed. Clustering highlights the uniformity of the best genetic algorithm results..Prediction of gend作者: conjunctiva 時(shí)間: 2025-3-26 12:32
https://doi.org/10.1007/978-3-0348-7029-0ies. In particular, we apply the upward and downward query extension methods to obtain a finer or coarser granularity of the requested information. We define diverse use cases with which a user can perform a query specifying particular attributes related to metadata or genomic data, even if they are作者: Ankylo- 時(shí)間: 2025-3-26 15:31
Hans Weinrichter,Franz Hlawatschcases; (.) Average/Maximum loss (e.g., . loss) per scan discriminates them, comparing the reconstructed/ground truth images. The results show that we can reliably detect AD at a very early stage with Receiver Operating Characteristics-Area Under the Curve (ROC-AUC) 0.780 while also detecting AD at a作者: 驚呼 時(shí)間: 2025-3-26 19:57
Hans Weinrichter,Franz Hlawatschormed experiments on synthetic data to evaluate our proposed approach and the adaptations in a controlled setting and used the reported cases for the disease . and . from 2001 until 2018 all over Germany to evaluate on real data. The experimental results show a substantial improvement on the synthet作者: Indent 時(shí)間: 2025-3-26 21:37
Asymptotik integrierter Prozessee evaluation of the overall accuracy of both strategies. . has shown high precision in classifying a subset of core (inlier) observations in the datasets evaluated, while simultaneously identifying the outlier observations, as well as robustness to increasingly perturbed data.作者: blight 時(shí)間: 2025-3-27 04:24
Computational Intelligence Methods for Bioinformatics and Biostatistics16th International M作者: Morphine 時(shí)間: 2025-3-27 08:48 作者: 同來核對(duì) 時(shí)間: 2025-3-27 11:24
Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries. In particular, we apply the upward and downward query extension methods to obtain a finer or coarser granularity of the requested information. We define diverse use cases with which a user can perform a query specifying particular attributes related to metadata or genomic data, even if they are作者: Default 時(shí)間: 2025-3-27 16:32
GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer’s Disease Diagcases; (.) Average/Maximum loss (e.g., . loss) per scan discriminates them, comparing the reconstructed/ground truth images. The results show that we can reliably detect AD at a very early stage with Receiver Operating Characteristics-Area Under the Curve (ROC-AUC) 0.780 while also detecting AD at a作者: critique 時(shí)間: 2025-3-27 18:49 作者: amnesia 時(shí)間: 2025-3-27 23:07
Random Sample Consensus for the Robust Identification of Outliers in Cancer Datae evaluation of the overall accuracy of both strategies. . has shown high precision in classifying a subset of core (inlier) observations in the datasets evaluated, while simultaneously identifying the outlier observations, as well as robustness to increasingly perturbed data.作者: handle 時(shí)間: 2025-3-28 05:52
and ,: Two Cytoscape-Based Applications for the Inference of Cancer Evolution Modelsenomic and proteomics databases. In particular, we here introduce ., a stand-alone . app, and ., a web application which employs the functionalities of ... was developed in Java. . was developed in JavaScript and R.作者: Nuance 時(shí)間: 2025-3-28 08:10 作者: Lymphocyte 時(shí)間: 2025-3-28 14:10 作者: EXULT 時(shí)間: 2025-3-28 14:45 作者: Aviary 時(shí)間: 2025-3-28 20:38
0302-9743 s and Biostatistics, CIBB 2019, which was held in Bergamo, Italy, during September 4-6, 2019. ..The 28 full papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are grouped in topical sections as follows: Computational Intelligence Methods for Bioinfor作者: Cubicle 時(shí)間: 2025-3-29 01:31
0302-9743 cine; Machine Learning in Healthcare Informatics and Medical Biology; Modeling and Simulation Methods for Computational Biology and Systems Medicine..978-3-030-63060-7978-3-030-63061-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 相同 時(shí)間: 2025-3-29 04:55
Stochastische Differentialgleichungen,uclear norm penalization for learning drug sensitivity. Numerical results show that the composite low-rank structure can improve the prediction performance compared to using a global low-rank approach or elastic net regression.作者: 跟隨 時(shí)間: 2025-3-29 11:03
Asymptotik integrierter Prozesses in terms of classification accuracy. Although not superior to 1-nearest neighbor (1-NN) and dynamic time warping (DTW), it has interesting characteristics for some classes, and thus enriches the set of methods to analyze multivariate TS.作者: Alienated 時(shí)間: 2025-3-29 13:09
Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank uclear norm penalization for learning drug sensitivity. Numerical results show that the composite low-rank structure can improve the prediction performance compared to using a global low-rank approach or elastic net regression.作者: insipid 時(shí)間: 2025-3-29 17:59
MSAX: Multivariate Symbolic Aggregate Approximation for Time Series Classifications in terms of classification accuracy. Although not superior to 1-nearest neighbor (1-NN) and dynamic time warping (DTW), it has interesting characteristics for some classes, and thus enriches the set of methods to analyze multivariate TS.作者: Indent 時(shí)間: 2025-3-29 22:39
Funktionaldichten und Stereologie,om Essential Tremor without the use of more subjective questionnaires. This study shows that tremor data gathered using the TREMOR12 application is useful for constructing machine learning models that can be used to support the diagnosis and monitoring of patients who suffer from Essential Tremor.作者: follicle 時(shí)間: 2025-3-30 03:06 作者: 符合規(guī)定 時(shí)間: 2025-3-30 07:17
