Machinelearning_transcriptomics

Applying Machine learning and statistical methods in gene regulatory network analysis

1. Paper:Statistical and Machine Learning Approaches to Predict Gene Regulatory Networks From Transcriptome Datasets
2. Machine learning with microarray data
3. Computational prediction of gene regulatory networks in plant growth and development
4. Statistical analysis and visualization of functional profiles for genes and gene clusters
5. Tree based ML algorithmn for gene regulatory network using RNA-seq data