Výsledky vyhľadávania - "network inference algorithms"

Cross-validation for training and testing co-occurrence network inference algorithms Autor Agyapong, Daniel, Propster, Jeffrey Ryan, Marks, Jane, Hocking, Toby Dylan

“… Co-occurrence network inference algorithms help us understand the complex associations of micro-organisms, especially bacteria…”
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Improving network inference algorithms using resampling methods Autor Colby, Sean M, McClure, Ryan S, Overall, Christopher C, Renslow, Ryan S, McDermott, Jason E

“…Background Relatively small changes to gene expression data dramatically affect co-expression networks inferred from that data which, in turn, can…”
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Improving network inference algorithms using resampling methods Autor Colby, Sean M., McClure, Ryan S., Overall, Christopher C., Renslow, Ryan S., McDermott, Jason E.

“…Relatively small changes to gene expression data dramatically affect co-expression networks inferred from that data which, in turn, can significantly alter the…”
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Evaluating the Reproducibility of Single-Cell Gene Regulatory Network Inference Algorithms Autor Kang, Yoonjee, Thieffry, Denis, Cantini, Laura

“…Networks are powerful tools to represent and investigate biological systems. The development of algorithms inferring regulatory interactions from functional…”
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Revealing ecological networks using Bayesian network inference algorithms Autor Milns, Isobel, Beale, Colin M, Smith, V. Anne

“… Here, we evaluate the use of a Bayesian network inference algorithm, which can reveal ecological networks based upon species and habitat abundance alone…”
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Cross-validation for training and testing co-occurrence network inference algorithms: Cross-validation for training and testing co-occurrence network Autor Agyapong, Daniel, Propster, Jeffrey Ryan, Marks, Jane, Hocking, Toby Dylan

“… Co-occurrence network inference algorithms help us understand the complex associations of micro-organisms, especially bacteria…”
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Revealing differences in gene network inference algorithms on the network level by ensemble methods Autor Altay, Gökmen, Emmert-Streib, Frank

“…: In this article, we conduct a statistical analysis investigating differences and similarities of four network inference algorithms, ARACNE, CLR, MRNET and RN, with respect to local network-based measures…”
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Are the tools fit for purpose? Network inference algorithms evaluated on a simulated lipidomics network Autor Archinuk, Finn, Greenyer, Haley, Stege, Ulrike, Bennett, Steffany A L, Cuperlovic-Culf, Miroslava, Jabbari, Hosna

“…Abstract Motivation Various methods have been proposed to construct metabolic networks from metabolomic data; however, small sample sizes, multiple confounding…”
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A comprehensive comparison of association estimators for gene network inference algorithms Autor Kurt, Zeyneb, Aydin, Nizamettin, Altay, Gökmen

“…Motivation: Gene network inference (GNI) algorithms enable the researchers to explore the interactions among the genes and gene products by revealing these…”
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Network Inference Algorithms Elucidate Nrf2 Regulation of Mouse Lung Oxidative Stress Autor Taylor, Ronald C., Acquaah-Mensah, George, Singhal, Mudita, Malhotra, Deepti, Biswal, Shyam

“…A variety of cardiovascular, neurological, and neoplastic conditions have been associated with oxidative stress, i.e., conditions under which levels of…”
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Quantifying the multi-scale performance of network inference algorithms Autor Oates, Chris J, Amos, Richard, Spencer, Simon E F

“… Network inference algorithms aim to reverse-engineer such models from noisy experimental data…”
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Empirically determining the sample size for large-scale gene network inference algorithms Autor Altay, G

“…The performance of genome-wide gene regulatory network inference algorithms depends on the sample size…”
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Netmes: Assessing Gene Network Inference Algorithms by Network-Based Measures Autor Altay, Gökmen, Kurt, Zeyneb, Dehmer, Matthias, Emmert-Streib, Frank

“…Gene regulatory network inference (GRNI) algorithms are essential for efficiently utilizing large-scale microarray datasets to elucidate biochemical…”
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Netmes: Assessing Gene Network Inference Algorithms by Network-Based Measures Autor Gökmen Altay, Zeyneb Kurt, Matthias Dehmer, Frank Emmert-Streib

“…Gene regulatory network inference (GRNI) algorithms are essential for efficiently utilizing large-scale microarray datasets to elucidate biochemical…”
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Network Inference Algorithms Elucidate Nrf2 Regulation of Mouse Lung Oxidative Stress: e1000166 Autor Taylor, Ronald C, Acquaah-Mensah, George, Singhal, Mudita, Malhotra, Deepti, Biswal, Shyam

“…A variety of cardiovascular, neurological, and neoplastic conditions have been associated with oxidative stress, i.e., conditions under which levels of…”
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Identifying strengths and weaknesses of methods for computational network inference from single-cell RNA-seq data Autor McCalla, Sunnie Grace, Fotuhi Siahpirani, Alireza, Li, Jiaxin, Pyne, Saptarshi, Stone, Matthew, Periyasamy, Viswesh, Shin, Junha, Roy, Sushmita

“…Abstract Single-cell RNA-sequencing (scRNA-seq) offers unparalleled insight into the transcriptional programs of different cellular states by measuring the…”
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k- Strong Inference Algorithm: A Hybrid Information Theory Based Gene Network Inference Algorithm Autor Cingiz, Mustafa Özgür

“…Gene networks allow researchers to understand the underlying mechanisms between diseases and genes while reducing the need for wet lab experiments. Numerous…”
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Evaluation of network inference algorithms for derivation of metabolic relationships from lipidomic and metabolomic datasets Autor Archinuk, Finn, Greenyer, Haley, Stege, Ulrike, Bennett, Steffany A.L, Cuperlovic-Culf, Miroslava, Jabbari, Hosna

“…Various methods have been proposed to construct metabolic networks from metabolomic data; however, small sample sizes, multiple confounding factors, the…”
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Cross-Validation for Training and Testing Co-occurrence Network Inference Algorithms Autor Agyapong, Daniel, Jeffrey Ryan Propster, Marks, Jane, Hocking, Toby Dylan

“… Co-occurrence network inference algorithms help us understand the complex associations of micro-organisms, especially bacteria…”
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The Performance Comparison of Gene Co-expression Networks of Breast and Prostate Cancer using Different Selection Criteria Autor Cingiz, Mustafa Özgür, Biricik, Göksel, Diri, Banu

“…Gene co-expression networks (GCN) present undirected relations between genes to understand molecular structures behind the diseases, including cancer. The…”
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