0.0.1 Machine learning for biomedical information
freenome
freenome intergateing innovative science to develop a blood-based cancer test starting with CRC.
cfDNA (cell free DNA).
Interpreting deep learning models of regulatory DNA
Anshul Kundaje
decoding genome function
control elements gene
ATAC-seq/DNase-seq
ChIP-seq
prediCtive model of regularity DNA
Just transform DNA sequence to dummy matrxi.
0.0.1 Machine learning for biomedical information
hierarchical latent variable models?
0.0.1 Machine learning for biomedical information
freenome
freenome intergateing innovative science to develop a blood-based cancer test starting with CRC.
cfDNA (cell free DNA).
Interpreting deep learning models of regulatory DNA
Anshul Kundaje
decoding genome function
control elements gene
ATAC-seq/DNase-seq
ChIP-seq
prediCtive model of regularity DNA
Just transform DNA sequence to dummy matrxi.
0.0.1 Machine learning for biomedical information
hierarchical latent variable models?
0.0.1 离散变量(discrete data)的生成模型 是斯坦福大学统计系教授Susan Holmes 0.0.1 离散变量(discrete data)的生成模型 在分子生物
0.0.1 Correlation analysis 0.0.1 Correlation analysis 将组学变量(gene,protein,metabolite,clinical factor)进行相关性分析,得到他们之间的相关性,