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標題: Titlebook: Gene Network Inference; Verification of Meth Alberto Fuente Book 2013 Springer-Verlag Berlin Heidelberg 2013 Gene Network Inference.Gene Ne [打印本頁]

作者: Truman    時間: 2025-3-21 18:47
書目名稱Gene Network Inference影響因子(影響力)




書目名稱Gene Network Inference影響因子(影響力)學科排名




書目名稱Gene Network Inference網(wǎng)絡(luò)公開度




書目名稱Gene Network Inference網(wǎng)絡(luò)公開度學科排名




書目名稱Gene Network Inference被引頻次




書目名稱Gene Network Inference被引頻次學科排名




書目名稱Gene Network Inference年度引用




書目名稱Gene Network Inference年度引用學科排名




書目名稱Gene Network Inference讀者反饋




書目名稱Gene Network Inference讀者反饋學科排名





作者: cyanosis    時間: 2025-3-21 23:57

作者: 鈍劍    時間: 2025-3-22 00:30
Differential Equation Based Reverse-Engineering Algorithms: Pros and Cons, transcription induced by an external perturbation, such as gene overexpression/downregulation or treatment with a drug. Reverse-engineering algorithms based on ODEs require a choice of a functional form describing the effect of a regulator on its target genes. Here, we focused on an ODE-based rever
作者: 緩解    時間: 2025-3-22 06:27
Gene Regulatory Network Inference from Systems Genetics Data Using Tree-Based Methods,t to solve this problem, the idea of systems genetics is to exploit the natural variations that exist between the DNA sequences of related individuals and that can represent the randomized and multifactorial perturbations necessary to recover GRNs. In this chapter, we present new methods, called GEN
作者: 骯臟    時間: 2025-3-22 11:38
Extending Partially Known Networks,sms. Particularly successful are supervised approaches that take the known regulatory interactions and gene expression data into account. However, they have not yet been applied to individuals genotyped by systems genetics data, where genetic polymorphisms are the major source of variation in gene e
作者: JEER    時間: 2025-3-22 14:20

作者: JEER    時間: 2025-3-22 19:57

作者: 反復無常    時間: 2025-3-22 23:17
978-3-662-52204-2Springer-Verlag Berlin Heidelberg 2013
作者: progestin    時間: 2025-3-23 04:01
https://doi.org/10.1007/978-3-642-45161-4Gene Network Inference; Gene Networks; Network Inference; Systems Biology; Systems Genetics; gene express
作者: Optimum    時間: 2025-3-23 06:02

作者: Essential    時間: 2025-3-23 10:27

作者: dry-eye    時間: 2025-3-23 14:46
https://doi.org/10.1007/978-3-319-51478-9ig Selector), Bayesian networks, and random forests. We also replicated the learning scheme using bootstrapped sub-samples of the observations. The biological motivation relies on a tough nut to crack in Systems Biology: understanding the intertwined action of genome elements and gene activity to mo
作者: FUSE    時間: 2025-3-23 19:24

作者: urethritis    時間: 2025-3-24 01:19

作者: corpuscle    時間: 2025-3-24 05:48
A Case Study in Programme Budgeting,t to solve this problem, the idea of systems genetics is to exploit the natural variations that exist between the DNA sequences of related individuals and that can represent the randomized and multifactorial perturbations necessary to recover GRNs. In this chapter, we present new methods, called GEN
作者: Morphine    時間: 2025-3-24 07:18

作者: FIR    時間: 2025-3-24 12:47
Bile Duct Stenosis Due to Local Ischemia, each individual as the system response to a specific set of perturbations. Current systems genetics approaches, known as genetics genomics, try to combine different types of data such as expression and genetic data both to improve the performance of reverse engineering application and to get deepes
作者: drusen    時間: 2025-3-24 15:00

作者: EVADE    時間: 2025-3-24 21:52
Alberto FuenteDescribes and evaluates recent methods for System Genetics data analysis.Critically evaluates various algorithms used to analyze Systems Genetics data.Put together in a community effort by the experts
作者: 敲竹杠    時間: 2025-3-25 01:53
Benchmarking a Simple Yet Effective Approach for Inferring Gene Regulatory Networks from Systems Genstruction errors. As expected, best results are obtained with large number of samples and larger marker distances. A less intuitive result is that significant (but not too large) biological variance can increase the reconstruction quality. Furthermore, a somewhat surprising finding was that the bes
作者: 人類學家    時間: 2025-3-25 06:43

作者: 熔巖    時間: 2025-3-25 08:08
Extending Partially Known Networks,supervised methods was robust with respect to parameterization and data pre-processing. Furthermore, whether or not the genotype information was explicitly used influenced the performance of supervised approaches only little. We also analyzed differences between real and artificial data and setups t
作者: LINES    時間: 2025-3-25 12:17

作者: 會犯錯誤    時間: 2025-3-25 16:31

作者: Prologue    時間: 2025-3-25 21:13
A Case Study in Programme Budgeting, if originally NIR was created for a different purpose, it can be successfully used to infer gene regulation from an integrated genotype and phenotype dataset. Our results provide evidence of the feasibility of applying reverse-engineering algorithms, such as NIR, to infer gene regulatory networks b
作者: 植物學    時間: 2025-3-26 03:58
Sarah Myers M.P.H,Arthur E. Blank Ph.Dsupervised methods was robust with respect to parameterization and data pre-processing. Furthermore, whether or not the genotype information was explicitly used influenced the performance of supervised approaches only little. We also analyzed differences between real and artificial data and setups t
作者: BUMP    時間: 2025-3-26 08:12
Bile Duct Stenosis Due to Local Ischemia, correct cause-effect pairs based on local peaks of intensity in the variation matrix, since genetic correlation decreases with genetic distance from the real causal gene. Compared to other pair-wise methods typically used in reverse-engineering, the variation matrix shows good performance in terms
作者: Landlocked    時間: 2025-3-26 10:32
ll ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians..978-3-662-52204-2978-3-642-45161-4
作者: chlorosis    時間: 2025-3-26 13:08
https://doi.org/10.1007/978-3-319-51478-9s in the considered network, sample size, gene expression heritability, and chromosome length. We observe that the proposed approaches are able to capture important interaction patterns, but parameter tuning or ad hoc pre- and post-processing may also have an important effect on the overall learning quality.
作者: LAVE    時間: 2025-3-26 19:40

作者: FECK    時間: 2025-3-26 22:11
A Case Study in Programme Budgeting,of the DREAM5 . challenge show that exploiting jointly expression and genetic data is very helpful for recovering GRNs, and one of our methods outperforms by a large extent the official best performing method of the DREAM5 challenge.
作者: 頑固    時間: 2025-3-27 01:52

作者: CRUC    時間: 2025-3-27 06:45
Gene Regulatory Network Inference from Systems Genetics Data Using Tree-Based Methods,of the DREAM5 . challenge show that exploiting jointly expression and genetic data is very helpful for recovering GRNs, and one of our methods outperforms by a large extent the official best performing method of the DREAM5 challenge.
作者: prick-test    時間: 2025-3-27 09:39
Using Simulated Data to Evaluate Bayesian Network Approach for Integrating Diverse Data,sion data. We show that integration of genetic data into network reconstruction using RIMBANet approach improves network construction accuracy. Furthermore, false-positive links in reconstructed networks are not randomly distributed. More than 80 % of them connect nodes that are indirect neighbors.
作者: 提升    時間: 2025-3-27 14:09
Book 2013nce for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians..
作者: Condense    時間: 2025-3-27 21:15

作者: Pert敏捷    時間: 2025-3-27 23:55
etics data.Put together in a community effort by the experts.This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to b
作者: 責怪    時間: 2025-3-28 04:22

作者: Neolithic    時間: 2025-3-28 09:13
Robert N. Braunin narratives in literary works suggests that these descriptions carry some form of meaning. And the literary text is peculiarly adept at exploring these meanings through the nuances of sensation, particularities of emotion and shades of experience that constitute the individual’s perspective.
作者: 先驅(qū)    時間: 2025-3-28 11:15

作者: GRIPE    時間: 2025-3-28 17:55

作者: Externalize    時間: 2025-3-28 20:59





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