好看的网络图，配色困难的看过来

最近小编做项目，发现网络图配色的时候，选择颜色特别麻烦，尤其是对于小编这种没有美感的人来说。所以，强迫症的我，搜集了很多看着还可以的网络图，训练下自己，争取图做漂亮。如果你配色也有障碍，欢迎收藏。

1、Mining TCGA database for genes of prognostic value in glioblastoma microenvironment

2、Identification of Potential Therapeutic Targets Among CXC Chemokines in Breast Tumor Microenvironment Using Integrative Bioinformatics Analysis

3、Identification of key genes and pathways in human clear cell renal cell carcinoma (ccRCC) by co-expression

analysis

4、The tumor microenvironment and Immunoscore are

critical determinants of dissemination to

distant metastasis

5、Construction of a specific SVM classifier and identification of molecular markers for lung adenocarcinoma based on lncRNA -miRNA -mRNA network

6、Analyzing the interactions of mRNAs, miRNAs, lncRNAs and circRNAs to predict competing endogenous RNA networks in glioblastoma

7、A competing endogenous RNA network identifies novel mRNA, miRNA and lncRNA markers for the prognosis of diabetic pancreatic cancer

8、Network and Pathway-Based Analyses of Genes Associated with Parkinson’s Disease

9、Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma

10、A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers

11、Molecular Liver Cancer Prevention in Cirrhosis by Organ Transcriptome Analysis and Lysophosphatidic Acid Pathway Inhibition

12、A novel approach to triplenegative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognoses

13、A disease module in the interactome explains disease

heterogeneity, drug response and captures novel

pathways and genes in asthma

14、Systematic Evaluation of Molecular Networks for

Discovery of Disease Genes

15、Identification of alterations in macrophage activation associated with disease activity in systemic lupus erythematosus

16、Genome-Wide Analysis of Prognostic lncRNAs, miRNAs, and mRNAs Forming a Competing Endogenous RNA Network in Hepatocellular Carcinoma

 17、Identification of key pathways and hub genes in basal-like breast cancer using bioinformatics analysis 

18、Network-based stratification of tumor mutations

19、Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade

20、Analysis of metastasis associated signal regulatory network in colorectal cancer

21、Single-cell RNA sequencing reveals diverse intratumoral heterogeneities and gene signatures of two types of esophageal cancers

22、Systematic profiling of alternative splicing signature reveals prognostic predictor for ovarian cancer

23、Gene correlation network analysis to identify regulatory factors in idiopathic pulmonary fibrosis

24、Proteomics, Post-translational Modifications, and

Integrative Analyses Reveal Molecular Heterogeneity within Medulloblastoma Subgroups

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