Modified linear regression predicts drug-target interactions accurately
نویسندگان
چکیده
منابع مشابه
Predicting Drug-Target Interactions Using Drug-Drug Interactions
Computational methods for predicting drug-target interactions have become important in drug research because they can help to reduce the time, cost, and failure rates for developing new drugs. Recently, with the accumulation of drug-related data sets related to drug side effects and pharmacological data, it has became possible to predict potential drug-target interactions. In this study, we foc...
متن کاملMulti-target Regression via Random Linear Target Combinations
Multi-target regression is concerned with the simultaneous prediction of multiple continuous target variables based on the same set of input variables. It arises in several interesting industrial and environmental application domains, such as ecological modelling and energy forecasting. This paper presents an ensemble method for multi-target regression that constructs new target variables via r...
متن کاملPredicting drug-target interactions via sparse learning
Drug-target interaction (DTI) prediction plays a very important role in drug development. Biochemical experiments or in vitro methods to identify such interactions are very expensive, laborious and time-consuming. Therefore, in silico approaches including docking simulation and machine learning have been proposed to solve this problem. In particular, machine learning approaches have attracted i...
متن کاملMicrobiome Data Accurately Predicts the Postmortem Interval Using Random Forest Regression Models
Death investigations often include an effort to establish the postmortem interval (PMI) in cases in which the time of death is uncertain. The postmortem interval can lead to the identification of the deceased and the validation of witness statements and suspect alibis. Recent research has demonstrated that microbes provide an accurate clock that starts at death and relies on ecological change i...
متن کاملInterval linear regression
In this paper, we have studied the analysis an interval linear regression model for fuzzy data. In section one, we have introduced the concepts required in this thesis and then we illustrated linear regression fuzzy sets and some primary definitions. In section two, we have introduced various methods of interval linear regression analysis. In section three, we have implemented nu...
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: PLOS ONE
سال: 2020
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0230726