CanLect-Pred: A Cancer Therapeutics Tool for Prediction of Target Cancerlectins Using Experiential Annotated Proteomic Sequences.
Ahmad Hassan ButtYaser Daanial KhanPublished in: IEEE Access (2020)
Keyphrases
- prediction accuracy
- ovarian cancer
- multiple linear regression
- hidden markov models
- outcome prediction
- prediction algorithm
- software tools
- early detection
- breast cancer
- manually annotated
- target tracking
- video sequences
- prediction model
- high throughput
- lung cancer
- conceptual framework
- sequential patterns
- proteomic data