Article

Prediction of Protein-Protein Interactions Based on L1-Regularized Logistic Regression and Gradient Tree Boosting

2020-03-05

Abstract excerpt

Protein-protein interactions (PPIs) are of great importance to understand genetic mechanisms, disease pathogenesis, and guide drug design. With the increase of PPIs sequence data and development of machine learning, the prediction and identification of PPIs have become a research hotspot in proteomics. In this paper, we propose a new prediction pipeline for PPIs based on gradient tree boosting (GTB). First, the in...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7769095f-4821-5955-be70-364530be36af
DOI: 10.1101/2020.03.04.976365

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Prediction of Protein-Protein Interactions Based on L1-Regularized Logistic Regression and Gradient Tree BoostingDOI 10.1101/2020.03.04.976365Read

Hom-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation.Semantic proximity Read

SDNN-PPI: Self-attention with deep neural networks effect on protein-protein interaction predictionSemantic proximity Read

AttnSeq-PPI: Self and Cross Attention-Driven Prediction of sequence-based Protein-Protein InteractionsSemantic proximity Read

not-yet-known not-yet-known not-yet-known unknown AttnSeq-PPI: Self and Cross Attention-Driven Prediction of sequence-based Protein-Protein InteractionsSemantic proximity Read

Machine Learning and Deep Learning Frameworks for Human–Virus Protein–Protein Interaction Prediction: Emerging Architectures, Methods, Benchmarks, and ChallengesSemantic proximity Read

Prediction of Protein-Protein Interactions Based On Weighted Extreme Learning Machine And Speed Up Robot FeaturesSemantic proximity Read

PEPPI: Whole-proteome protein-protein interaction prediction through structure and sequence similarity, functional association, and machine learningSemantic proximity Read

Computational approaches for prediction of pathogen-host protein-protein interactionsSemantic proximity Read

A Novel Protein Mapping Method for Predicting the Protein Interactions in COVID-19 Disease by Deep LearningSemantic proximity Read

Disease associated protein-protein interaction network reconstruction based on comprehensive influence analysisSemantic proximity Read

Protein-protein interaction prediction for targeted protein degradationSemantic proximity Read

Human–gut bacterial protein–protein interactions: understudied but impactful to human healthSemantic proximity Read