Machine Learning-Enhanced T Cell Neoepitope Discovery for Immunotherapy Design
نویسندگان
چکیده
منابع مشابه
Quantum-enhanced machine learning
The emerging field of quantum machine learning has the potential to substantially aid in the problems and scope of artificial intelligence. This is only enhanced by recent successes in the field of classical machine learning. In this work we propose an approach for the systematic treatment of machine learning, from the perspective of quantum information. Our approach is general and covers all t...
متن کاملMachine-learning models for combinatorial catalyst discovery
A variety of machine learning algorithms, including hierarchical clustering, decision trees, k-nearest neighbours, support vector machines and bagging, were applied to construct models to predict the molecular weight of the polymers produced by a set of 96 homogeneous catalysts. The goal of the study was to develop models that could be used to screen large virtual libraries of catalysts in orde...
متن کاملDendritic Cell Maturation with CpG for Tumor Immunotherapy
Background: Bacterial DNA has immunostimulatory effects on different types of immune cells such as dendritic cells (DCs). Application of DCs as a cellular adjuvant represents a promising approach in the immunotherapy of infectious disease and cancers. Objectives: To investigate the effect of tumor antigen pulsed DCs in the presence of CpG-1826 in treatment of a murine model of cancer. Methods: ...
متن کاملHuman Discovery and Machine Learning
Submission to IJCINI This paper studies machine learning paradigms from the point of view of human cognition. Indeed, conceptions in both mahine learning and human learning evolved from a passive to an active conception of learning. Our objective is to provide an interaction protocol suited to both humans and machines, to enable assisting human discoveries by learning machines. We identify the ...
متن کاملMachine Learning for Drug Design
A common step in drug design is the formation of a quantitative structure-activity relationship (QSAR) to model an exploratory series of compounds. A QSAR generalizes how the structure of a compound relates to its biological activity. There is growing interest in the application of machine learning techniques in QSAR modeling research. However, no single technique can claim to be uniformly supe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cancer Informatics
سال: 2019
ISSN: 1176-9351,1176-9351
DOI: 10.1177/1176935119852081