標(biāo)題: Titlebook: Bioinformatics Research and Applications; 15th International S Zhipeng Cai,Pavel Skums,Min Li Conference proceedings 2019 Springer Nature S [打印本頁(yè)] 作者: DEIGN 時(shí)間: 2025-3-21 17:15
書(shū)目名稱(chēng)Bioinformatics Research and Applications影響因子(影響力)
書(shū)目名稱(chēng)Bioinformatics Research and Applications影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Bioinformatics Research and Applications網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Bioinformatics Research and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Bioinformatics Research and Applications被引頻次
書(shū)目名稱(chēng)Bioinformatics Research and Applications被引頻次學(xué)科排名
書(shū)目名稱(chēng)Bioinformatics Research and Applications年度引用
書(shū)目名稱(chēng)Bioinformatics Research and Applications年度引用學(xué)科排名
書(shū)目名稱(chēng)Bioinformatics Research and Applications讀者反饋
書(shū)目名稱(chēng)Bioinformatics Research and Applications讀者反饋學(xué)科排名
作者: Adulterate 時(shí)間: 2025-3-21 22:39 作者: Bravura 時(shí)間: 2025-3-22 02:49
Sorting by Reversals, Transpositions, and Indels on Both Gene Order and Intergenic Sizesmaterial. In the literature, several models were designed to estimate the number of events that occurred during the evolution, but these models represent genomes as a sequence of genes, overlooking the genetic material between consecutive genes. However, recent studies show that taking into account 作者: laceration 時(shí)間: 2025-3-22 05:28 作者: 不法行為 時(shí)間: 2025-3-22 09:35 作者: aqueduct 時(shí)間: 2025-3-22 15:31
Modeling SNP-Trait Associations and Realizing Privacy-Utility Tradeoff in Genomic Data Publishingem of privacy preserved kin-genomic data publishing. The major challenge in protecting kin-genomic data privacy is to protect against powerful attackers with abundant background knowledge. We propose a probabilistic model based on factor graph with the knowledge of publicly available GWAS statistics作者: expound 時(shí)間: 2025-3-22 18:28 作者: adipose-tissue 時(shí)間: 2025-3-22 23:44 作者: 有惡意 時(shí)間: 2025-3-23 02:04
Model Revision of Boolean Regulatory Networks at Stable Statenually performed, and consequently prone to error. Moreover, as new experimental data is acquired, models need to be revised and updated. Here, we propose a model revision tool, capable of proposing the set of minimum repairs to render a model consistent with a set of experimental observations. We c作者: 開(kāi)始沒(méi)有 時(shí)間: 2025-3-23 06:50 作者: 胰島素 時(shí)間: 2025-3-23 13:29
Identifying Human Essential Genes by Network Embedding Protein-Protein Interaction Network genes, but also provides a way for finding potential targets for cancer and other diseases. Recently, with the publishing of human essential gene data and the availability of a large amount of biological data, some computational methods have been proposed to predict human essential genes based on g作者: 充滿裝飾 時(shí)間: 2025-3-23 14:28
Automated Hub-Protein Detection via a New Fused Similarity Measure-Based Multi-objective Clustering ch blend multiple sources of biological properties of protein. In Protein-Protein Interaction Network (PPIN), hub-proteins play a central role. There are many literature with user-studied different degree cut-offs for defining hub-proteins. Therefore, there is a need for a standard method for identi作者: 妨礙 時(shí)間: 2025-3-23 20:49 作者: cathartic 時(shí)間: 2025-3-24 00:55
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profilesxt mining methods extract annotations from existing unstructured data descriptions and often provide inaccurate output that requires manual curation. Automatic data-based augmentation (generation of annotations on the base of expression data) can considerably improve the annotation quality and has n作者: Override 時(shí)間: 2025-3-24 04:51
Detecting Illicit Drug Ads in Google+ Using Machine Learningount of drug advertisement and selling being carried out online. In order to understand dynamics of drug abuse epidemics and design efficient public health interventions, it is essential to extract and analyze data from online drug markets. In this paper, we present a computational framework for aut作者: 廢墟 時(shí)間: 2025-3-24 10:09 作者: 無(wú)效 時(shí)間: 2025-3-24 11:51 作者: GUILT 時(shí)間: 2025-3-24 16:28
Ik hoor rechts plotseling niets meer,a new tree distance that is adapted from the cluster matching distance but has not its drawbacks. Nevertheless, as we show, the cluster affinity distance preserves all of the properties that make the matching distance appealing.作者: 憤憤不平 時(shí)間: 2025-3-24 19:37
5 Aandoeningen van het binnenooronfigurations to assess the tool repairing capabilities. Whenever a model is repaired under the time limit, the tool successfully produces the optimal solutions to repair the model. Also, the number of repair operations required is less than or equal to the number of random changes applied to the original model.作者: 不發(fā)音 時(shí)間: 2025-3-25 01:24 作者: BADGE 時(shí)間: 2025-3-25 04:48 作者: Albinism 時(shí)間: 2025-3-25 08:59
Unifying Gene Duplication, Loss, and Coalescence on Phylogenetic Networkstopology under this unified model..We demonstrate the application of the model and the accuracy of the algorithm on simulated as well as biological data..Our work adds to the biologist’s toolbox of methods for phylogenomic inference by accounting for more complex evolutionary processes.作者: 笨拙的我 時(shí)間: 2025-3-25 14:28 作者: acquisition 時(shí)間: 2025-3-25 18:01
Model Revision of Boolean Regulatory Networks at Stable Stateonfigurations to assess the tool repairing capabilities. Whenever a model is repaired under the time limit, the tool successfully produces the optimal solutions to repair the model. Also, the number of repair operations required is less than or equal to the number of random changes applied to the original model.作者: eustachian-tube 時(shí)間: 2025-3-25 23:26 作者: MENT 時(shí)間: 2025-3-26 00:37 作者: 我不怕?tīng)奚?nbsp; 時(shí)間: 2025-3-26 07:48
Conference proceedings 2019 Spain, in June 2019...The 22 full papers presented in this book were carefully reviewed and selected from 95 submissions. They were organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and data analysis and methodology..作者: 令人不快 時(shí)間: 2025-3-26 09:43
,China’s Economic Transformation,roblems. At first, we have proposed a new Fused protein-protein Similarity measure - ., which involves biological properties of both Gene Ontology (GO) and PPIN. Later, utilizing the proposed similarity measure, a multi-objective clustering algorithm-based automated hub-protein detection framework is developed.作者: MILK 時(shí)間: 2025-3-26 13:20 作者: Indicative 時(shí)間: 2025-3-26 18:54 作者: sterilization 時(shí)間: 2025-3-27 00:39 作者: glomeruli 時(shí)間: 2025-3-27 04:18
https://doi.org/10.1007/978-90-313-6360-5 to reveal the dependency relationship between genotypes and phenotypes. Furthermore, a genomic data sanitization method is proposed to protect against optimal inference attacks launched by powerful attackers.作者: 細(xì)節(jié) 時(shí)間: 2025-3-27 05:52 作者: Terminal 時(shí)間: 2025-3-27 12:16 作者: gimmick 時(shí)間: 2025-3-27 13:57
Sorting by Reversals, Transpositions, and Indels on Both Gene Order and Intergenic Sizesom intergenic regions of the genome, respectively. We study problems considering both gene order and intergenic regions size. We investigate the reversal distance between two genomes in two scenarios: with and without non-conservative events. For both problems, we show that they belong to NP-hard pr作者: 形狀 時(shí)間: 2025-3-27 18:54 作者: Perineum 時(shí)間: 2025-3-28 00:30 作者: 加劇 時(shí)間: 2025-3-28 03:16
Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Surviet captures nonlinear effects of multi-omics data to survival outcomes via a neural network framework, while allowing one to biologically interpret the model. In the extensive experiments with multi-omics data of Gliblastoma multiforme (GBM) patients, MiNet outperformed the current cutting-edge meth作者: confide 時(shí)間: 2025-3-28 07:06 作者: right-atrium 時(shí)間: 2025-3-28 13:55
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles accuracy for tissue groups is 98% (DL), for tissues - 96.5% (DL), and for sex - 77% (DL). The “one dataset out” average accuracy for tissue group prediction is 83% (DL) and 59% (RF). On average, DL provides better results as compared to RF, and considerably improves classification performance for ‘作者: 變色龍 時(shí)間: 2025-3-28 15:39
Mijn zoontje luistert niet goed meer,sign heuristic integer-linear programming (ILP for short) models for AST-LR and AST-LR-.. Our experimental results show that the heuristic models can be used to significantly speed up solving the exact models proposed in [.].作者: Fibrinogen 時(shí)間: 2025-3-28 20:46 作者: 和音 時(shí)間: 2025-3-29 01:29
Mijn zoontje luistert niet goed meer,om intergenic regions of the genome, respectively. We study problems considering both gene order and intergenic regions size. We investigate the reversal distance between two genomes in two scenarios: with and without non-conservative events. For both problems, we show that they belong to NP-hard pr作者: Bumble 時(shí)間: 2025-3-29 06:49
6 Hoortoestellen en hoorimplantaten we address this problem by extending the DGS reconciliation model to simultaneously reconcile a set of domain trees, a set of gene trees, and a species tree. The new model, which we call the ., produces a consistent joint reconciliation showing the evolution of each domain tree in its corresponding作者: Lament 時(shí)間: 2025-3-29 10:56 作者: Urologist 時(shí)間: 2025-3-29 14:54 作者: 殘酷的地方 時(shí)間: 2025-3-29 18:37 作者: Accomplish 時(shí)間: 2025-3-29 20:49
,Transformation of China’s Financial System, accuracy for tissue groups is 98% (DL), for tissues - 96.5% (DL), and for sex - 77% (DL). The “one dataset out” average accuracy for tissue group prediction is 83% (DL) and 59% (RF). On average, DL provides better results as compared to RF, and considerably improves classification performance for ‘作者: 向外 時(shí)間: 2025-3-30 00:53 作者: BINGE 時(shí)間: 2025-3-30 05:49
978-3-030-20241-5Springer Nature Switzerland AG 2019作者: aquatic 時(shí)間: 2025-3-30 10:47 作者: 過(guò)剩 時(shí)間: 2025-3-30 13:49
Bioinformatics Research and Applications978-3-030-20242-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: NAUT 時(shí)間: 2025-3-30 17:50
