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Best matches for cytoscape:

Biological network exploration with Cytoscape 3. Su G et al. Curr Protoc Bioinformatics. (2014)

cyNeo4j: connecting Neo4j and Cytoscape. Summer G et al. Bioinformatics. (2015)

CyREST: Turbocharging Cytoscape Access for External Tools via a RESTful API. Ono K et al. F1000Res. (2015)

Search results

Items: 1 to 20 of 1097

1.

Dysregulated genes targeted by microRNAs and metabolic pathways in bladder cancer revealed by bioinformatics methods.

Zhang L, Feng C, Zhou Y, Zhou Q.

Oncol Lett. 2018 Jun;15(6):9617-9624. doi: 10.3892/ol.2018.8602. Epub 2018 Apr 27.

PMID:
29928337
2.

Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.

Li T, Gao X, Han L, Yu J, Li H.

World J Surg Oncol. 2018 Jun 19;16(1):114. doi: 10.1186/s12957-018-1409-3.

3.

Bioinformatics analysis of common differential genes of coronary artery disease and ischemic cardiomyopathy.

Li GM, Zhang CL, Rui RP, Sun B, Guo W.

Eur Rev Med Pharmacol Sci. 2018 Jun;22(11):3553-3569. doi: 10.26355/eurrev_201806_15182.

PMID:
29917210
4.

[Intervention mechanism of psychological sub-health by Baihe Dihuang Tang based on network pharmacology].

Zhao L, Wu YF, Gao Y, Xiang H, Qin XM, Tian JS.

Yao Xue Xue Bao. 2017 Jan;52(1):99-105. Chinese.

PMID:
29911798
5.

Biochemical pathway analysis of gastric atrophy.

Rezaei Tavirani M, Rezaei Tavirani S, Tajik Rostami F.

Gastroenterol Hepatol Bed Bench. 2018 Spring;11(2):118-124.

6.

Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods.

Shao X, Bao W, Hong X, Jiang H, Yu Z.

Mol Med Rep. 2018 Jun 6. doi: 10.3892/mmr.2018.9135. [Epub ahead of print]

PMID:
29901134
7.

Screening genes associated with elevated neutrophil‑to‑lymphocyte ratio in chronic heart failure.

Wan G, Ji L, Xia W, Cheng L, Zhang Y.

Mol Med Rep. 2018 Jun 5. doi: 10.3892/mmr.2018.9132. [Epub ahead of print]

PMID:
29901123
8.

Data set on G4 DNA interactions with human proteins.

Vlasenok M, Levchenko O, Basmanov D, Klinov D, Varizhuk A, Pozmogova G.

Data Brief. 2018 Mar 9;18:348-359. doi: 10.1016/j.dib.2018.02.081. eCollection 2018 Jun.

9.

The Active Components of Fuzheng Huayu Formula and Their Potential Mechanism of Action in Inhibiting the Hepatic Stellate Cells Viability - A Network Pharmacology and Transcriptomics Approach.

Xing X, Chen S, Li L, Cao Y, Chen L, Wang X, Zhu Z.

Front Pharmacol. 2018 May 24;9:525. doi: 10.3389/fphar.2018.00525. eCollection 2018.

10.

An integrated analysis of key microRNAs, regulatory pathways and clinical relevance in bladder cancer.

Li D, Hao X, Song Y.

Onco Targets Ther. 2018 May 24;11:3075-3085. doi: 10.2147/OTT.S166506. eCollection 2018.

11.

Bupleurum marginatum Wall.ex DC in Liver Fibrosis: Pharmacological Evaluation, Differential Proteomics, and Network Pharmacology.

Liu X, Shi Y, Hu Y, Luo K, Guo Y, Meng W, Deng Y, Dai R.

Front Pharmacol. 2018 May 17;9:524. doi: 10.3389/fphar.2018.00524. eCollection 2018.

12.

Differential Expression of Coding and Long Noncoding RNAs in Keratoconus-Affected Corneas.

Khaled ML, Bykhovskaya Y, Yablonski SER, Li H, Drewry MD, Aboobakar IF, Estes A, Gao XR, Stamer WD, Xu H, Allingham RR, Hauser MA, Rabinowitz YS, Liu Y.

Invest Ophthalmol Vis Sci. 2018 Jun 1;59(7):2717-2728. doi: 10.1167/iovs.18-24267.

13.

Marine natural products for multi-targeted cancer treatment: A future insight.

Kumar MS, Adki KM.

Biomed Pharmacother. 2018 May 30;105:233-245. doi: 10.1016/j.biopha.2018.05.142. [Epub ahead of print] Review.

PMID:
29859466
14.

Identification of key genes in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis.

Zhu N, Hou J, Wu Y, Li G, Liu J, Ma G, Chen B, Song Y.

Medicine (Baltimore). 2018 Jun;97(22):e10997. doi: 10.1097/MD.0000000000010997.

15.

NUP155 insufficiency recalibrates a pluripotent transcriptome with network remodeling of a cardiogenic signaling module.

Preston CC, Wyles SP, Reyes S, Storm EC, Eckloff BW, Faustino RS.

BMC Syst Biol. 2018 May 30;12(1):62. doi: 10.1186/s12918-018-0590-x.

16.

The Landscape of Circular RNA Expression Profiles in Papillary Thyroid Carcinoma Based on RNA Sequencing.

Lan X, Xu J, Chen C, Zheng C, Wang J, Cao J, Zhu X, Ge M.

Cell Physiol Biochem. 2018 May 25;47(3):1122-1132. doi: 10.1159/000490188. [Epub ahead of print]

17.

Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.

Wen P, Chidanguro T, Shi Z, Gu H, Wang N, Wang T, Li Y, Gao J.

Mol Med Rep. 2018 May 29. doi: 10.3892/mmr.2018.9095. [Epub ahead of print]

PMID:
29845250
18.

Identification of key genes and pathways in uterine leiomyosarcoma through bioinformatics analysis.

Zang Y, Gu L, Zhang Y, Wang Y, Xue F.

Oncol Lett. 2018 Jun;15(6):9361-9368. doi: 10.3892/ol.2018.8503. Epub 2018 Apr 16.

19.

Distinct Prognostic Values of Alcohol Dehydrogenase Family Members for Non-Small Cell Lung Cancer.

Wang P, Zhang L, Huang C, Huang P, Zhang J.

Med Sci Monit. 2018 May 29;24:3578-3590. doi: 10.12659/MSM.910026.

20.

Gene-gene interaction network analysis of hepatocellular carcinoma using bioinformatic software.

He JH, Han ZP, Wu PZ, Zou MX, Wang L, Lv YB, Zhou JB, Cao MR, Li YG.

Oncol Lett. 2018 Jun;15(6):8371-8377. doi: 10.3892/ol.2018.8408. Epub 2018 Apr 2.

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