@curator

2 months ago

Article

Building trust in deep learning-based immune response predictors with interpretable explanations - Communications Biology

Rating: 0.0

Likes: 1

Library: 1

Building trust in deep learning-based immune response predictors with interpretable explanations - Communications Biology

The ability to predict whether a peptide will get presented on Major Histocompatibility Complex (MHC) class I molecules has profound implications in designing vaccines. Numerous deep learning-based predictors for peptide presentation on MHC class I molecules exist with high levels of accuracy. However, these MHC class I predictors are treated as black-box functions, providing little insight into their decision making.

Rate This Post

Rate The Educational Value

Rate The Ease of Understanding and Presentation

Interesting or Boring? Rate the Entertainment Value

Building trust in deep learning-based immune response predictors with interpretable explanations - Communications Biology

Rate This Post

Related Topics

Comments

Media:

My Account:

Boostlane:

Select a Category

Topics Trending Today

Recommended Media

Boostlane Reward System

Unlocking the Power of Knowledge
for Humanity's Progress

Quick Links

Select a Locale

Unlocking the Power of Knowledge
for Humanity's Progress

Building trust in deep learning-based immune response predictors with interpretable explanations - Communications Biology

Rate This Post

Related Topics

Comments

Media:

My Account:

Boostlane:

Select a Category

Topics Trending Today

Recommended Media

Boostlane Reward System

Unlocking the Power of Knowledge for Humanity's Progress

Quick Links

Select a Locale

Unlocking the Power of Knowledge for Humanity's Progress

Unlocking the Power of Knowledge
for Humanity's Progress

Unlocking the Power of Knowledge
for Humanity's Progress