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標(biāo)題: Titlebook: Computational Advances in Bio and Medical Sciences; 10th International C Sumit Kumar Jha,Ion M?ndoiu,Alex Zelikovsky Conference proceedings [打印本頁]

作者: 宗派    時(shí)間: 2025-3-21 19:50
書目名稱Computational Advances in Bio and Medical Sciences影響因子(影響力)




書目名稱Computational Advances in Bio and Medical Sciences影響因子(影響力)學(xué)科排名




書目名稱Computational Advances in Bio and Medical Sciences網(wǎng)絡(luò)公開度




書目名稱Computational Advances in Bio and Medical Sciences網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Advances in Bio and Medical Sciences被引頻次




書目名稱Computational Advances in Bio and Medical Sciences被引頻次學(xué)科排名




書目名稱Computational Advances in Bio and Medical Sciences年度引用




書目名稱Computational Advances in Bio and Medical Sciences年度引用學(xué)科排名




書目名稱Computational Advances in Bio and Medical Sciences讀者反饋




書目名稱Computational Advances in Bio and Medical Sciences讀者反饋學(xué)科排名





作者: laceration    時(shí)間: 2025-3-21 20:44

作者: 使顯得不重要    時(shí)間: 2025-3-22 04:09
Computational Study of Action Potential Generation in Urethral Smooth Muscle Cellto stress urinary incontinence by generating spontaneous mechanical and electrical activities. It generates spontaneous electrical events in the terms of membrane depolarization and action potentials. Therefore, a complete understanding of the urethral smooth muscle cell’s spontaneous action potenti
作者: ironic    時(shí)間: 2025-3-22 06:59
Metabolic Pathway Prediction using Non-negative Matrix Factorization with?Improved Precisiony and completion. However, several challenges including pathway features engineering, multiple mapping of enzymatic reactions and emergent or distributed metabolism within populations or communities of cells can limit prediction performance. In this paper, we present triUMPF, .ple non-negative matri
作者: 不給啤    時(shí)間: 2025-3-22 11:34
A Novel Pathway Network Analytics Method Based on Graph Theoryexample, by controlling metabolite synthesis or by regulating the expression of sets of genes. They play a key role in advanced studies of genomics. However, existing pathway analytics methods are inadequate to extract meaningful biological structure underneath the network of pathways. They also lac
作者: municipality    時(shí)間: 2025-3-22 15:43

作者: municipality    時(shí)間: 2025-3-22 17:23

作者: 同步信息    時(shí)間: 2025-3-22 23:00

作者: JECT    時(shí)間: 2025-3-23 03:04
: Ancestral Flowering Plant Chromosomes and Gene Orders Based on Generalized Adjacencies and Chromos difficult by the cycles of whole genome doubling followed by fractionation in plant lineages. Fractionation scrambles the gene adjacencies that enable existing reconstruction methods. We propose an alternative approach that postpones the selection of gene adjacencies for reconstructing small ancest
作者: 結(jié)構(gòu)    時(shí)間: 2025-3-23 06:25

作者: 違反    時(shí)間: 2025-3-23 12:58

作者: 人類的發(fā)源    時(shí)間: 2025-3-23 17:32

作者: forager    時(shí)間: 2025-3-23 21:49

作者: 閑逛    時(shí)間: 2025-3-24 01:59
https://doi.org/10.1007/978-1-4020-8733-2erties, including Tier 1 genomes from the BioCyc collection of organismal Pathway/Genome Databases and low complexity microbial communities. Resulting performance metrics equaled or exceeded other prediction methods on organismal genomes with improved precision on multi-organismal datasets.
作者: 向外    時(shí)間: 2025-3-24 03:17
https://doi.org/10.1007/978-1-4020-8733-2node of the phylogeny. These strategies result in substantially more complete reconstructions than existing methods. We deploy a number of quality measures: contig lengths, continuity of contig structure on successive ancestors, coverage of the reconstruction on the input genomes, and rearrangement
作者: Generator    時(shí)間: 2025-3-24 06:32
https://doi.org/10.1007/978-1-4020-8743-1test sequence alignment methods) while maintaining high performance with a 0.99 precision and a 0.99 recall. MetaMLP can process 100 million reads in around 10 min in a laptop computer, a 50x speed up compared to Diamond. MetaMLP is freely available at ..
作者: MAL    時(shí)間: 2025-3-24 14:03

作者: 剝皮    時(shí)間: 2025-3-24 16:47
MetaProb 2: Improving Unsupervised Metagenomic Binning with Efficient Reads Assembly Using Minimizer effectiveness of MetaProb 2 is demonstrated in both simulated and synthetic datasets in comparison with state-of-art binning tools such as MetaProb, AbundanceBin, Bimeta and MetaCluster..Available at: ..
作者: 散開    時(shí)間: 2025-3-24 20:44
Computational Study of Action Potential Generation in Urethral Smooth Muscle Cellthe internal kinetics are expressed in terms of the ordinary differential equations. This computational model generates experimental spontaneous action potential and the underlying ionic currents in urethral smooth muscle cell successfully. In summary, this mathematical model contributes an elementa
作者: Hyperplasia    時(shí)間: 2025-3-25 02:50

作者: 精致    時(shí)間: 2025-3-25 06:31

作者: 他日關(guān)稅重重    時(shí)間: 2025-3-25 10:38
A Fast Word Embedding Based Classifier to Profile Target Gene Databases in Metagenomic Samplestest sequence alignment methods) while maintaining high performance with a 0.99 precision and a 0.99 recall. MetaMLP can process 100 million reads in around 10 min in a laptop computer, a 50x speed up compared to Diamond. MetaMLP is freely available at ..
作者: 滔滔不絕的人    時(shí)間: 2025-3-25 14:20

作者: 雪白    時(shí)間: 2025-3-25 15:49

作者: 織物    時(shí)間: 2025-3-25 23:48

作者: chemical-peel    時(shí)間: 2025-3-26 03:52

作者: 懶洋洋    時(shí)間: 2025-3-26 08:02

作者: Serenity    時(shí)間: 2025-3-26 10:13

作者: 離開    時(shí)間: 2025-3-26 16:35

作者: 記成螞蟻    時(shí)間: 2025-3-26 20:05

作者: 捐助    時(shí)間: 2025-3-26 21:20
Conference proceedings 2021ction of large amounts of biological and medical data. The papers show how the use of this data can help expand our knowledge of fundamental biological processes and improve human health - using novel computational models and advanced analysis algorithms..
作者: 陰郁    時(shí)間: 2025-3-27 01:44
0302-9743 the collection of large amounts of biological and medical data. The papers show how the use of this data can help expand our knowledge of fundamental biological processes and improve human health - using novel computational models and advanced analysis algorithms..978-3-030-79289-3978-3-030-79290-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: Nebulous    時(shí)間: 2025-3-27 06:12
Conference proceedings 2021 December 2020. Due to COVID-19 pandemic the conference was held virtually..The 6 regular and 5 invited papers presented in this book were carefully reviewed and selected from 16 submissions. The use of high throughput technologies is fundamentally changing the life sciences and leading to the colle
作者: Benign    時(shí)間: 2025-3-27 09:59

作者: placebo    時(shí)間: 2025-3-27 14:38

作者: 爭(zhēng)論    時(shí)間: 2025-3-27 17:46
0302-9743 0, held in December 2020. Due to COVID-19 pandemic the conference was held virtually..The 6 regular and 5 invited papers presented in this book were carefully reviewed and selected from 16 submissions. The use of high throughput technologies is fundamentally changing the life sciences and leading to
作者: 怎樣才咆哮    時(shí)間: 2025-3-28 00:54
https://doi.org/10.1007/978-1-4020-8733-2clustering and ordering single cell transcriptional profiles according to their progression along cell cycle phases. We also introduce a new robust metric, Gene Smoothness Score (GSS) for assessing the cell cycle based order of the cells. SC1CC is available as part of the SC1 web-based scRNA-Seq analysis pipeline, publicly accessible at ..
作者: 宮殿般    時(shí)間: 2025-3-28 02:07
Computational Cell Cycle Analysis of?Single Cell RNA-Seq Dataclustering and ordering single cell transcriptional profiles according to their progression along cell cycle phases. We also introduce a new robust metric, Gene Smoothness Score (GSS) for assessing the cell cycle based order of the cells. SC1CC is available as part of the SC1 web-based scRNA-Seq analysis pipeline, publicly accessible at ..
作者: PON    時(shí)間: 2025-3-28 09:25
https://doi.org/10.1007/978-3-030-79290-9artificial intelligence; clustering algorithms; clustering methods; computer networks; computer science;
作者: hypnotic    時(shí)間: 2025-3-28 14:03
978-3-030-79289-3Springer Nature Switzerland AG 2021
作者: 松雞    時(shí)間: 2025-3-28 16:57

作者: 共同確定為確    時(shí)間: 2025-3-28 22:07
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232077.jpg
作者: lobster    時(shí)間: 2025-3-29 00:18
https://doi.org/10.1007/978-1-4020-8733-2software, read trimmers, and sequence masks. Many programs appear to use arbitrarily chosen features that are putatively relevant to DNA alignment quality. Machine learning gives a ready way to empirically assess a variety of features and rank them according to their importance. Sequence complexity
作者: Lumbar-Stenosis    時(shí)間: 2025-3-29 04:03

作者: 使成核    時(shí)間: 2025-3-29 07:27
1D Finite Elements for Axially Loaded Rods,to stress urinary incontinence by generating spontaneous mechanical and electrical activities. It generates spontaneous electrical events in the terms of membrane depolarization and action potentials. Therefore, a complete understanding of the urethral smooth muscle cell’s spontaneous action potenti
作者: Coordinate    時(shí)間: 2025-3-29 15:28

作者: acetylcholine    時(shí)間: 2025-3-29 18:28

作者: 矛盾心理    時(shí)間: 2025-3-29 22:40

作者: 吝嗇性    時(shí)間: 2025-3-30 00:27
https://doi.org/10.1007/978-1-4020-8733-2tional analysis of single cell RNA-Seq (scRNA-Seq) data. In this paper, we introduce SC1CC (. .ell .ycle analysis tool), a computational approach for clustering and ordering single cell transcriptional profiles according to their progression along cell cycle phases. We also introduce a new robust me
作者: 愛好    時(shí)間: 2025-3-30 05:11

作者: 放縱    時(shí)間: 2025-3-30 11:18
https://doi.org/10.1007/978-1-4020-8733-2 difficult by the cycles of whole genome doubling followed by fractionation in plant lineages. Fractionation scrambles the gene adjacencies that enable existing reconstruction methods. We propose an alternative approach that postpones the selection of gene adjacencies for reconstructing small ancest
作者: cognizant    時(shí)間: 2025-3-30 16:09
https://doi.org/10.1007/978-1-4020-8743-1ds against curated databases has been widely used to profile metagenomic samples. However, this method is time consuming and requires high computing resources. Although several alignment free methods based on k-mer composition have been developed in recent years, they still require a large amount of
作者: amnesia    時(shí)間: 2025-3-30 17:14
Slender Plane Beams. Euler-Bernoulli Theory, information towards understanding the genomic diversity and dynamics of this virus. Early approaches involved building transmission networks or phylogenetic trees, the latter for which scalability becomes more of an issue with each day, due to its high computational complexity..In this work, we pro




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