PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Changmin Oh, Balachandran Manavalan, Watshara Shoombuatong. PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning. Comp. in Bio. and Med., 158:106784, May 2023. [doi]

The following publications are possibly variants of this publication:

PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learningPhasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong. cbm, 152:106368, 2023. [doi]

Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptidesPhasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Watshara Shoombuatong. jcamd, 36(11):781-796, 2022. [doi]

iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of DipeptidesPhasit Charoenkwan, Janchai Yana, Chanin Nantasenamat, Md. Mehedi Hasan, Watshara Shoombuatong. jcisd, 60(12):6666-6678, 2020. [doi]

runs on WebDSL