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Items: 1 to 20 of 107

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Distinct signaling roles of ceramide species in yeast revealed through systematic perturbation and systems biology analyses.

Montefusco DJ, Chen L, Matmati N, Lu S, Newcomb B, Cooper GF, Hannun YA, Lu X.

Sci Signal. 2013 Oct 29;6(299):rs14. doi: 10.1126/scisignal.2004515.

3.

Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model.

Chen L, Cai C, Chen V, Lu X.

BMC Bioinformatics. 2016 Jan 11;17 Suppl 1:9. doi: 10.1186/s12859-015-0852-1.

4.

A weighted power framework for integrating multisource information: gene function prediction in yeast.

Ray SS, Bandyopadhyay S, Pal SK.

IEEE Trans Biomed Eng. 2012 Apr;59(4):1162-8. doi: 10.1109/TBME.2012.2186689.

PMID:
22318478
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Assessment of crosstalks between the Snf1 kinase complex and sphingolipid metabolism in S. cerevisiae via systems biology approaches.

Borklu Yucel E, Ulgen KO.

Mol Biosyst. 2013 Nov;9(11):2914-31. doi: 10.1039/c3mb70248k.

PMID:
24056632
7.

Knowledge management for systems biology a general and visually driven framework applied to translational medicine.

Maier D, Kalus W, Wolff M, Kalko SG, Roca J, Marin de Mas I, Turan N, Cascante M, Falciani F, Hernandez M, VillĂ -Freixa J, Losko S.

BMC Syst Biol. 2011 Mar 5;5:38. doi: 10.1186/1752-0509-5-38.

8.

Construction of protein phosphorylation networks by data mining, text mining and ontology integration: analysis of the spindle checkpoint.

Ross KE, Arighi CN, Ren J, Huang H, Wu CH.

Database (Oxford). 2013 Jun 7;2013:bat038. doi: 10.1093/database/bat038.

9.

Transcriptional profiling of Saccharomyces cerevisiae exposed to propolis.

de Castro PA, Savoldi M, Bonatto D, Malavazi I, Goldman MH, Berretta AA, Goldman GH.

BMC Complement Altern Med. 2012 Oct 24;12:194. doi: 10.1186/1472-6882-12-194.

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Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks.

Martin F, Thomson TM, Sewer A, Drubin DA, Mathis C, Weisensee D, Pratt D, Hoeng J, Peitsch MC.

BMC Syst Biol. 2012 May 31;6:54. doi: 10.1186/1752-0509-6-54.

14.

Nutrient-regulated antisense and intragenic RNAs modulate a signal transduction pathway in yeast.

Nishizawa M, Komai T, Katou Y, Shirahige K, Ito T, Toh-E A.

PLoS Biol. 2008 Dec 23;6(12):2817-30. doi: 10.1371/journal.pbio.0060326.

15.

Regulatory Snapshots: integrative mining of regulatory modules from expression time series and regulatory networks.

Gonçalves JP, Aires RS, Francisco AP, Madeira SC.

PLoS One. 2012;7(5):e35977. doi: 10.1371/journal.pone.0035977.

16.

Gene expression network reconstruction by convex feature selection when incorporating genetic perturbations.

Logsdon BA, Mezey J.

PLoS Comput Biol. 2010 Dec 2;6(12):e1001014. doi: 10.1371/journal.pcbi.1001014.

17.

A systems biology approach to study glucose repression in the yeast Saccharomyces cerevisiae.

Westergaard SL, Oliveira AP, Bro C, Olsson L, Nielsen J.

Biotechnol Bioeng. 2007 Jan 1;96(1):134-45.

PMID:
16878332
18.

Cross-Ontology multi-level association rule mining in the Gene Ontology.

Manda P, Ozkan S, Wang H, McCarthy F, Bridges SM.

PLoS One. 2012;7(10):e47411. doi: 10.1371/journal.pone.0047411.

19.

ANDSystem: an Associative Network Discovery System for automated literature mining in the field of biology.

Ivanisenko VA, Saik OV, Ivanisenko NV, Tiys ES, Ivanisenko TV, Demenkov PS, Kolchanov NA.

BMC Syst Biol. 2015;9 Suppl 2:S2. doi: 10.1186/1752-0509-9-S2-S2.

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