May 10, 2016 � This architecture uses a novel multilayer shift-and-stitch (MUST) technique to generate fully dense per-position predictions on protein sequences.

Predicting protein properties such as solvent accessibil- ity and secondary structure from its primary amino acid sequence is an important task in�...

This work proposes a deep convolutional neural network architecture, MUST-CNN, that uses a novel multilayer shift-and-stitch technique to generate fully�...

Aug 5, 2016 � MUST-CNN is a 1D classification algorithm which takes protein sequence as input and predicts at amino acid level. Authors have used Torch7�...

Mar 8, 2023 � MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction ; Authors. Zeming Lin.

This architecture uses a novel multilayer shift-and-stitch (MUST) technique to generate fully dense per-position predictions on protein sequences. Our model is�...

Sep 4, 2023 � MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction. AAAI 2016: 27-34. a�...

Jun 11, 2015 � This architecture uses a novel multilayer shift-and-stitch (MUST) technique to generate fully dense per-position predictions on protein sequences.

Feb 16, 2016 � Introduced shift-and-stitch, on per-pixel scene labeling. ◦ Not an end-to-end shift-stitch process (due to huge computational cost for 2D ).

This architecture uses a novel multilayer shift-and-stitch (MUST) technique to generate fully dense per-position predictions on protein sequences. Our model is�...