BioML

which is a project summary the knowledge of Deep learning in life science by zzu group (Bio for machine learning)

paper

Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets

Maximum entropy methods for extracting the learned features of deep neural networks

Not Just A Black Box: Learning Important Features Through Propagating Activation Differences

Visualizing and Understanding Convolutional Networks

Understanding Neural Networks Through Deep Visualization

content

Deep learning in life science ZZU study group agendas

Spring 2021 6.874 Computational Systems Biology: Deep Learning in the Life Sciences

gokceneraslan/awesome-deepbio: A curated list of awesome deep learning applications in the field of computational biology

February 14： Interpretability, Dimensionality Reduction （任喆）

Paper discussion:

Maximum entropy methods for extracting the learned features of deep neural networks (史健翔)

February 16:

Generative Models, GANs, VAE (吴卫东)

Paper discussion:

Not Just A Black Box: Learning Important Features Through Propagating Activation Differences (贾永亮)

Visualizing and Understanding Convolutional Networks (吴卫东)

Understanding Neural Networks Through Deep Visualization (黄津津)