arXiv:2111.01976
A new method for binary classification of proteins with Machine Learning
원문 초록
In this work we set out to find a method to classify protein structures using a Deep Learning methodology. Our Artificial Intelligence has been trained to recognize complex biomolecule structures extrapolated from the Protein Data Bank (PDB) database and reprocessed as images; for this purpose various tests have been conducted with pre-trained Convolutional Neural Networks, such as InceptionResNetV2 or InceptionV3, in order to extract significant features from these images and correctly classify the molecule. A comparative analysis of the performances of the various networks will therefore be produced.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Machine Learning-Based Approaches For Breast Cancer Detection in Microwave Imaging
Earthquake magnitude prediction in Hindukush region using machine learning techniques
Inverse Scene Text Removal
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews
토론
이 논문과 연결된 포럼 글이 아직 없습니다.