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DNABP: Identification of DNA-binding proteins based on feature selection using a random forest and predicting binding residues
DNA-binding proteins are fundamentally important in cellular processes. Several
computational-based methods have been developed to improve the prediction of DNA …
computational-based methods have been developed to improve the prediction of DNA …
Identification of DNA‐Binding Proteins Using Support Vector Machine with Sequence Information
DNA‐binding proteins are fundamentally important in understanding cellular processes.
Thus, the identification of DNA‐binding proteins has the particularly important practical …
Thus, the identification of DNA‐binding proteins has the particularly important practical …
Deep-BSC: predicting raw DNA binding pattern in Arabidopsis thaliana
SAS Bukhari, A Razzaq, J Jabeen, S Khan… - Current …, 2021 - ingentaconnect.com
Background: With the rapid development of the sequencing methods in recent years,
binding sites have been systematically identified in such projects as Nested-MICA and …
binding sites have been systematically identified in such projects as Nested-MICA and …
gDNA-Prot: Predict DNA-binding proteins by employing support vector machine and a novel numerical characterization of protein sequence
DNA-binding proteins are the functional proteins in cells, which play an important role in
various essential biological activities. An effective and fast computational method gDNA-Prot …
various essential biological activities. An effective and fast computational method gDNA-Prot …
Fast construction of relational features for machine learning
O Kuželka - 2013 - search.proquest.com
This thesis deals with the problem of making construction of relational features more
efficient. Specifically, it focuses on the situations when we know or assume that a good set of …
efficient. Specifically, it focuses on the situations when we know or assume that a good set of …
INTERACT-O-FINDER: A Tool for Prediction of DNA-Binding Proteins Using Sequence Features
Protein–DNA interactions carry out many important regulatory functions in our body which
are essential for growth and survival. The molecular level understanding of these …
are essential for growth and survival. The molecular level understanding of these …
Prediction of DNA-Binding Propensity of Proteins Using Machine Learning
A Szabóová - 2013 - search.proquest.com
The process of protein-DNA interaction has been an important subject of recent
bioinformatics research. The goal of this thesis is to find an accurate model for the prediction …
bioinformatics research. The goal of this thesis is to find an accurate model for the prediction …
[PDF][PDF] Prediction on DNA Binding Sequence in Deep Learning Approach
Prediction of DNA-binding proteins from sequence information is the most challenging tasks
in genome annotation. The principal study of our research is to determine DNA-binding …
in genome annotation. The principal study of our research is to determine DNA-binding …
Enhanced Prediction of DNA-Binding Proteins and Classes
Predicting DNA-binding proteins computationally based on proteins features is a very
challenging process. This is due to the diversity of DNA-binding patterns and classes …
challenging process. This is due to the diversity of DNA-binding patterns and classes …
[PDF][PDF] mRNA and miRNA Data Integration for Accurate Molecular Classification
J Zahálka - 2013 - cyber.felk.cvut.cz
Classification of mRNA expression data in order to determine the presence of a severe
disease is an active topic of bioinformatic research. In recent years, the newly-discovered …
disease is an active topic of bioinformatic research. In recent years, the newly-discovered …