| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1009273045 |
| P356 | DOI | 10.1038/SREP13295 |
| P932 | PMC publication ID | 4539605 |
| P698 | PubMed publication ID | 26282208 |
| P5875 | ResearchGate publication ID | 281071228 |
| P50 | author | Hsuan-Cheng Huang | Q55397230 |
| Hsueh-Fen Juan | Q57331491 | ||
| Chia-Lang Hsu | Q57563516 | ||
| P2860 | cites work | Selected reaction monitoring mass spectrometry reveals the dynamics of signaling through the GRB2 adaptor | Q24307890 |
| BioGRID: a general repository for interaction datasets | Q24538650 | ||
| High functional overlap between MluI cell-cycle box binding factor and Swi4/6 cell-cycle box binding factor in the G1/S transcriptional program in Saccharomyces cerevisiae | Q24545904 | ||
| Integrative approaches for finding modular structure in biological networks | Q26824897 | ||
| Network-based approaches in drug discovery and early development | Q26827940 | ||
| Gene Expression Omnibus: NCBI gene expression and hybridization array data repository | Q27860523 | ||
| Network biology: understanding the cell's functional organization | Q27861027 | ||
| The response to iron deprivation in Saccharomyces cerevisiae: expression of siderophore-based systems of iron uptake | Q27930491 | ||
| A role for the transcription factors Mbp1 and Swi4 in progression from G1 to S phase. | Q27931895 | ||
| Yap1 accumulates in the nucleus in response to carbon stress in Saccharomyces cerevisiae | Q27932281 | ||
| Complex transcriptional circuitry at the G1/S transition in Saccharomyces cerevisiae | Q27933056 | ||
| Conserved homeodomain proteins interact with MADS box protein Mcm1 to restrict ECB-dependent transcription to the M/G1 phase of the cell cycle | Q27933560 | ||
| The transcriptional activator Cat8p provides a major contribution to the reprogramming of carbon metabolism during the diauxic shift in Saccharomyces cerevisiae | Q27933847 | ||
| Natural Variation in the Yeast Glucose-Signaling Network Reveals a New Role for the Mig3p Transcription Factor | Q27934518 | ||
| Forkhead transcription factors, Fkh1p and Fkh2p, collaborate with Mcm1p to control transcription required for M-phase | Q27935191 | ||
| A competitive transcription factor binding mechanism determines the timing of late cell cycle-dependent gene expression | Q27938494 | ||
| Bck2 Acts through the MADS Box Protein Mcm1 to Activate Cell-Cycle-Regulated Genes in Budding Yeast | Q28487846 | ||
| Genomic binding sites of the yeast cell-cycle transcription factors SBF and MBF | Q29547783 | ||
| A gene-coexpression network for global discovery of conserved genetic modules | Q29614451 | ||
| Interactome networks and human disease | Q29615773 | ||
| A general framework for weighted gene co-expression network analysis | Q29617580 | ||
| Differential coexpression analysis using microarray data and its application to human cancer | Q33225476 | ||
| Simultaneous identification of differential gene expression and connectivity in inflammation, adipogenesis and cancer. | Q50716381 | ||
| The yeast iron regulon is induced upon cobalt stress and crucial for cobalt tolerance. | Q54539992 | ||
| Modeling and verifying a broad array of network properties | Q57726820 | ||
| Glucose starvation induces a drastic reduction in the rates of both transcription and degradation of mRNA in yeast | Q73666167 | ||
| Transcriptional control of the yeast acetyl‐CoA synthetase gene, ACS1, by the positive regulators CAT8 and ADR1 and the pleiotropic repressor UME6 | Q74032518 | ||
| Lethal combinations | Q79238289 | ||
| Strong associations between microbe phenotypes and their network architecture | Q84882146 | ||
| A new measure for functional similarity of gene products based on Gene Ontology | Q33246840 | ||
| A differential wiring analysis of expression data correctly identifies the gene containing the causal mutation. | Q33438450 | ||
| Aging mice show a decreasing correlation of gene expression within genetic modules | Q33519515 | ||
| Systematic interpretation of genetic interactions using protein networks | Q33622989 | ||
| DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules | Q33711526 | ||
| Cell wall integrity signaling in Saccharomyces cerevisiae | Q33939988 | ||
| Link-based quantitative methods to identify differentially coexpressed genes and gene pairs. | Q33977746 | ||
| Transcriptional response of steady-state yeast cultures to transient perturbations in carbon source. | Q34249829 | ||
| Rewiring of genetic networks in response to DNA damage. | Q34425692 | ||
| Deciphering gene expression regulatory networks. | Q34563244 | ||
| Dissection of regulatory networks that are altered in disease via differential co-expression | Q34625333 | ||
| Link clustering reveals structural characteristics and biological contexts in signed molecular networks | Q34796394 | ||
| DCGL v2.0: an R package for unveiling differential regulation from differential co-expression | Q35053226 | ||
| Differential coexpression analysis of obesity-associated networks in human subcutaneous adipose tissue. | Q35177849 | ||
| Regulation of Cell Wall Biogenesis in Saccharomyces cerevisiae: The Cell Wall Integrity Signaling Pathway | Q35620450 | ||
| Metal-responsive transcription factors that regulate iron, zinc, and copper homeostasis in eukaryotic cells. | Q35661293 | ||
| How mammalian transcriptional repressors work | Q35826427 | ||
| Elucidating the role of gonadal hormones in sexually dimorphic gene coexpression networks | Q37125958 | ||
| Powerlaw: a Python package for analysis of heavy-tailed distributions. | Q37530421 | ||
| From 'differential expression' to 'differential networking' - identification of dysfunctional regulatory networks in diseases | Q37767030 | ||
| Charting the genetic interaction map of a cell | Q37812766 | ||
| Differential network biology | Q37976573 | ||
| Identifying protein complexes and functional modules--from static PPI networks to dynamic PPI networks | Q38115517 | ||
| Personalized network-based treatments in oncology. | Q38133296 | ||
| Aft1p and Aft2p mediate iron-responsive gene expression in yeast through related promoter elements | Q38354481 | ||
| Multiple pathways are co-regulated by the protein kinase Snf1 and the transcription factors Adr1 and Cat8. | Q38355889 | ||
| The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae | Q38494570 | ||
| Three Cell Wall Mannoproteins Facilitate the Uptake of Iron in Saccharomyces cerevisiae | Q43775030 | ||
| The Snf1 protein kinase controls the induction of genes of the iron uptake pathway at the diauxic shift in Saccharomyces cerevisiae | Q44576326 | ||
| Heat shock response improves heterologous protein secretion in Saccharomyces cerevisiae | Q46326632 | ||
| Metal-sensing transcription factors Mac1p and Aft1p coordinately regulate vacuolar copper transporter CTR2 in Saccharomyces cerevisiae | Q47643455 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 13295 | |
| P577 | publication date | 2015-08-18 | |
| P1433 | published in | Scientific Reports | Q2261792 |
| P1476 | title | Functional Analysis and Characterization of Differential Coexpression Networks | |
| P478 | volume | 5 |
| Q38667968 | A data-driven modeling approach to identify disease-specific multi-organ networks driving physiological dysregulation |
| Q39622052 | Computational challenges in modeling gene regulatory events |
| Q31065775 | DTW-MIC Coexpression Networks from Time-Course Data |
| Q37323863 | Differential Coexpression Analysis Reveals Extensive Rewiring of Arabidopsis Gene Coexpression in Response to Pseudomonas syringae Infection. |
| Q33890351 | Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancer |
| Q47106598 | Gene expression analysis in asthma using a targeted multiplex array |
| Q64062008 | Genetic and environmental perturbations lead to regulatory decoherence |
| Q92512470 | Identification of hyper-rewired genomic stress non-oncogene addiction genes across 15 cancer types |
| Q64098317 | Identification of key regulatory genes connected to NF-κB family of proteins in visceral adipose tissues using gene expression and weighted protein interaction network |
| Q31096031 | Identification of novel direct targets of Drosophila Sine oculis and Eyes absent by integration of genome-wide data sets |
| Q36837816 | In silico methods for drug repurposing and pharmacology |
| Q52660779 | Large-scale profiling of noncoding RNA function in yeast. |
| Q47161913 | MultiDCoX: Multi-factor analysis of differential co-expression. |
| Q92966940 | Sex biased expression and co-expression networks in development, using the hymenopteran Nasonia vitripennis |
| Q97652867 | Systemic lipid dysregulation is a risk factor for macular neurodegenerative disease |
| Q89656423 | The detection and analysis of differential regulatory communities in lung cancer |
| Q89574634 | Unraveling the role of salt-sensitivity genes in obesity with integrated network biology and co-expression analysis |
| Q64914874 | Updating genome annotation for the microbial cell factory Aspergillus niger using gene co-expression networks. |
Search more.