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
argin-bottom: 10px;max-width: 100%;min-height: 1em;letter-spacing: 0.544px;white-space: normal;color: rgb(62, 62, 62);font-size: 16px;line-height: 25.6px;text-align: center;background-color: rgb(255, 255, 255);box-sizing: border-box !important;overflow-wrap: break-word !important;">TCGA | 小工具 | 数据库 |组装| 注释 | 基因家族 | Pvalue
基因预测 |bestorf | sci | NAR | 在线工具 | 生存分析 | 热图
生信不死 | 初学者 | circRNA | 一箭画心| 十二生肖 | circos
舞台|基因组 | 黄金测序 | 套路 | 杂谈组装 | 进化 | 测序简史