AIMC Topic: RNA, Small Interfering

Clear Filters Showing 21 to 30 of 46 articles

Combining Supervised and Unsupervised Machine Learning Methods for Phenotypic Functional Genomics Screening.

SLAS discovery : advancing life sciences R & D May 13, 2020
There has been an increase in the use of machine learning and artificial intelligence (AI) for the analysis of image-based cellular screens. The accuracy of these analyses, however, is greatly dependent on the quality of the training sets used for bu...
Humans RNA, Small Interfering Supervised Machine Learning High-Throughput Screening Assays Genome, Human Phenotype Genomics Unsupervised Machine Learning
View on PubMed DOI

A deep learning framework to predict binding preference of RNA constituents on protein surface.

Nature communications Oct 30, 2019
Protein-RNA interaction plays important roles in post-transcriptional regulation. However, the task of predicting these interactions given a protein structure is difficult. Here we show that, by leveraging a deep learning model NucleicNet, attributes...
Humans Cytosine Ribose Adenine Ribonuclease III Protein Binding Argonaute Proteins Mice Area Under Curve RNA-Binding Proteins RNA, Small Interfering Animals RNA Guanine Phosphates Deep Learning Gene Knockdown Techniques Uracil ROC Curve
View on PubMed DOI

SiRNA silencing efficacy prediction based on a deep architecture.

BMC genomics Sep 24, 2018
BACKGROUND: Small interfering RNA (siRNA) can be used to post-transcriptional gene regulation by knocking down targeted genes. In functional genomics, biomedical research and cancer therapeutics, siRNA design is a critical research topic. Various com...
Humans Neural Networks, Computer Machine Learning RNA, Small Interfering Gene Targeting Gene Silencing Algorithms Computational Biology RNA, Messenger
View on PubMed DOI

Identification of lead anti-human cytomegalovirus compounds targeting MAP4K4 via machine learning analysis of kinase inhibitor screening data.

PloS one Jul 26, 2018
Chemogenomic approaches involving highly annotated compound sets and cell based high throughput screening are emerging as a means to identify novel drug targets. We have previously screened a collection of highly characterized kinase inhibitors (Khan...
Virus Replication Protein Kinase Inhibitors Intracellular Signaling Peptides and Proteins Antiviral Agents Cell Line Protein Serine-Threonine Kinases Cytomegalovirus Cytomegalovirus Infections RNA, Small Interfering Humans Machine Learning Drug Discovery
View on PubMed DOI

Effective computational detection of piRNAs using n-gram models and support vector machine.

BMC bioinformatics Dec 28, 2017
BACKGROUND: Piwi-interacting RNAs (piRNAs) are a new class of small non-coding RNAs that are known to be associated with RNA silencing. The piRNAs play an important role in protecting the genome from invasive transposons in the germline. Recent studi...
Databases, Genetic Area Under Curve RNA, Small Interfering Humans Computational Biology Support Vector Machine Animals ROC Curve
View on PubMed DOI

Digging deep into Golgi phenotypic diversity with unsupervised machine learning.

Molecular biology of the cell Oct 11, 2017
The synthesis of glycans and the sorting of proteins are critical functions of the Golgi apparatus and depend on its highly complex and compartmentalized architecture. High-content image analysis coupled to RNA interference screening offers opportuni...
High-Throughput Screening Assays Golgi Apparatus RNA Interference RNA, Small Interfering Humans Phenotype Polysaccharides Reproducibility of Results HeLa Cells Unsupervised Machine Learning
View on PubMed DOI

Using machine learning algorithms to identify genes essential for cell survival.

BMC bioinformatics Oct 3, 2017
BACKGROUND: With the explosion of data comes a proportional opportunity to identify novel knowledge with the potential for application in targeted therapies. In spite of this huge amounts of data, the solutions to treating complex disease is elusive....
Algorithms Reproducibility of Results Humans PubMed Machine Learning Cell Survival RNA Interference Animals Genes, Essential Neoplasms RNA, Small Interfering Cell Line
View on PubMed DOI

GuideScan software for improved single and paired CRISPR guide RNA design.

Nature biotechnology Mar 6, 2017
We present GuideScan software for the design of CRISPR guide RNA libraries that can be used to edit coding and noncoding genomic regions. GuideScan produces high-density sets of guide RNAs (gRNAs) for single- and paired-gRNA genome-wide screens. We a...
Machine Learning Software Algorithms Clustered Regularly Interspaced Short Palindromic Repeats Chromosome Mapping Sequence Analysis, RNA CRISPR-Cas Systems Gene Silencing RNA, Small Interfering
View on PubMed DOI

Prediction of potent shRNAs with a sequential classification algorithm.

Nature biotechnology Mar 6, 2017
We present SplashRNA, a sequential classifier to predict potent microRNA-based short hairpin RNAs (shRNAs). Trained on published and novel data sets, SplashRNA outperforms previous algorithms and reliably predicts the most efficient shRNAs for a give...
Machine Learning Software Clustered Regularly Interspaced Short Palindromic Repeats Sequence Analysis, RNA Gene Silencing CRISPR-Cas Systems Algorithms Chromosome Mapping RNA, Small Interfering
View on PubMed DOI

V-ELMpiRNAPred: Identification of human piRNAs by the voting-based extreme learning machine (V-ELM) with a new hybrid feature.

Journal of bioinformatics and computational biology Jan 9, 2017
Piwi-interacting RNAs (piRNAs) were recently discovered as endogenous small noncoding RNAs. Some recent research suggests that piRNAs may play an important role in cancer. So the precise identification of human piRNAs is a significant work. In this p...
Databases, Genetic RNA, Small Interfering Humans Nucleotide Motifs Machine Learning Algorithms
View on PubMed DOI
Popular Topics
Recent Journals