A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in Arabidopsis
出版年份 2016 全文链接
标题
A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in Arabidopsis
作者
关键词
-
出版物
Frontiers in Plant Science
Volume 7, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2016-12-24
DOI
10.3389/fpls.2016.01936
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Plant hormone-mediated regulation of stress responses
- (2016) Vivek Verma et al. BMC PLANT BIOLOGY
- Potential targets of VIVIPAROUS1/ABI3-LIKE1 (VAL1) repression in developingArabidopsis thalianaembryos
- (2016) Andrew Schneider et al. PLANT JOURNAL
- Regulatory network analysis reveals novel regulators of seed desiccation tolerance inArabidopsis thaliana
- (2016) Sandra Isabel González-Morales et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Learning from Co-expression Networks: Possibilities and Challenges
- (2016) Elise A. R. Serin et al. Frontiers in Plant Science
- Gene regulatory network inference using fused LASSO on multiple data sets
- (2016) Nooshin Omranian et al. Scientific Reports
- The arabidopsis information resource: Making and mining the “gold standard” annotated reference plant genome
- (2015) Tanya Z. Berardini et al. GENESIS
- Semi-supervised prediction of gene regulatory networks using machine learning algorithms
- (2015) Nihir Patel et al. JOURNAL OF BIOSCIENCES
- limma powers differential expression analyses for RNA-sequencing and microarray studies
- (2015) Matthew E. Ritchie et al. NUCLEIC ACIDS RESEARCH
- CompareSVM: supervised, Support Vector Machine (SVM) inference of gene regularity networks
- (2014) Zeeshan Gillani et al. BMC BIOINFORMATICS
- Dynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation data
- (2014) Narsis A Kiani et al. BMC BIOINFORMATICS
- voom: precision weights unlock linear model analysis tools for RNA-seq read counts
- (2014) Charity W Law et al. GENOME BIOLOGY
- Seed-Development Programs: A Systems Biology–Based Comparison Between Dicots and Monocots
- (2013) Nese Sreenivasulu et al. Annual Review of Plant Biology
- Supervised, semi-supervised and unsupervised inference of gene regulatory networks
- (2013) S. R. Maetschke et al. BRIEFINGS IN BIOINFORMATICS
- Embryo and endosperm, partners in seed development
- (2013) Clément Lafon-Placette et al. CURRENT OPINION IN PLANT BIOLOGY
- bZIP67 Regulates the Omega-3 Fatty Acid Content of Arabidopsis Seed Oil by Activating FATTY ACID DESATURASE3
- (2013) A. Mendes et al. PLANT CELL
- ABA signaling in stress-response and seed development
- (2013) Kazuo Nakashima et al. PLANT CELL REPORTS
- Distinct Roles of LAFL Network Genes in Promoting the Embryonic Seedling Fate in the Absence of VAL Repression
- (2013) H. Jia et al. PLANT PHYSIOLOGY
- Identification of Direct Targets of FUSCA3, a Key Regulator of Arabidopsis Seed Development
- (2013) F. Wang et al. PLANT PHYSIOLOGY
- Regulation of the seed to seedling developmental phase transition by the LAFL and VAL transcription factor networks
- (2013) Haiyan Jia et al. Wiley Interdisciplinary Reviews-Developmental Biology
- On protocols and measures for the validation of supervised methods for the inference of biological networks
- (2013) Marie Schrynemackers et al. Frontiers in Genetics
- TIGRESS: Trustful Inference of Gene REgulation using Stability Selection
- (2012) Anne-Claire Haury et al. BMC Systems Biology
- Wisdom of crowds for robust gene network inference
- (2012) Daniel Marbach et al. NATURE METHODS
- Toward the identification and regulation of the Arabidopsis thaliana ABI3 regulon
- (2012) Gudrun Mönke et al. NUCLEIC ACIDS RESEARCH
- FIMO: scanning for occurrences of a given motif
- (2011) Charles E. Grant et al. BIOINFORMATICS
- Genome-wide network model capturing seed germination reveals coordinated regulation of plant cellular phase transitions
- (2011) G. W. Bassel et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- How to infer gene networks from expression profiles, revisited
- (2011) C. A. Penfold et al. Interface Focus
- Learning gene regulatory networks from only positive and unlabeled data
- (2010) Luigi Cerulo et al. BMC BIOINFORMATICS
- An engineer's view on regulation of seed development
- (2010) Astrid Junker et al. TRENDS IN PLANT SCIENCE
- Benchmarking regulatory network reconstruction with GRENDEL
- (2009) B. C. Haynes et al. BIOINFORMATICS
- The Systems Biology Graphical Notation
- (2009) Nicolas Le Novère et al. NATURE BIOTECHNOLOGY
- Universal protein-binding microarrays for the comprehensive characterization of the DNA-binding specificities of transcription factors
- (2009) Michael F Berger et al. Nature Protocols
- ChIP–seq: advantages and challenges of a maturing technology
- (2009) Peter J. Park NATURE REVIEWS GENETICS
- MEME SUITE: tools for motif discovery and searching
- (2009) T. L. Bailey et al. NUCLEIC ACIDS RESEARCH
- SIRENE: supervised inference of regulatory networks
- (2008) F. Mordelet et al. BIOINFORMATICS
- WGCNA: an R package for weighted correlation network analysis
- (2008) Peter Langfelder et al. BMC BIOINFORMATICS
- Support Vector Machines and Kernels for Computational Biology
- (2008) Asa Ben-Hur et al. PLoS Computational Biology
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