AIMC Topic: Software

Clear Filters Showing 3411 to 3420 of 3675 articles

PathwaySplice: an R package for unbiased pathway analysis of alternative splicing in RNA-Seq data.

Bioinformatics (Oxford, England)
SUMMARY: Pathway analysis of alternative splicing would be biased without accounting for the different number of exons or junctions associated with each gene, because genes with higher number of exons or junctions are more likely to be included in th...

A machine learning approach for somatic mutation discovery.

Science translational medicine
Variability in the accuracy of somatic mutation detection may affect the discovery of alterations and the therapeutic management of cancer patients. To address this issue, we developed a somatic mutation discovery approach based on machine learning t...

Predicting protein-protein interactions through sequence-based deep learning.

Bioinformatics (Oxford, England)
MOTIVATION: High-throughput experimental techniques have produced a large amount of protein-protein interaction (PPI) data, but their coverage is still low and the PPI data is also very noisy. Computational prediction of PPIs can be used to discover ...

piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks.

Bioinformatics (Oxford, England)
MOTIVATION: Learning probabilistic graphs over mixed data is an important way to combine gene expression and clinical disease data. Leveraging the existing, yet imperfect, information in pathway databases for mixed graphical model (MGM) learning is a...

A deep neural network approach for learning intrinsic protein-RNA binding preferences.

Bioinformatics (Oxford, England)
MOTIVATION: The complexes formed by binding of proteins to RNAs play key roles in many biological processes, such as splicing, gene expression regulation, translation and viral replication. Understanding protein-RNA binding may thus provide important...

DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.

Bioinformatics (Oxford, England)
MOTIVATION: Computational methods that predict differential gene expression from histone modification signals are highly desirable for understanding how histone modifications control the functional heterogeneity of cells through influencing different...

pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks.

Bioinformatics (Oxford, England)
SUMMARY: Convolutional neural networks (CNNs) have been shown to perform exceptionally well in a variety of tasks, including biological sequence classification. Available implementations, however, are usually optimized for a particular task and diffi...

[Accuracy analysis of robotic assistant needle placement for lateral skull base biopsy].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
To evaluate the accuracy and feasibility of a custom robot system guided by navigation for lateral skull base tumor biopsy. Two cadaver heads were used, with iopamidol injected into different areas in the skull base and infratemporal region to imit...

[From symptom to syndrome using modern software support].

Der Internist
Diagnosing rare diseases can be challenging for clinicians. This article gives an overview on novel approaches, which enable automated phenotype-driven analyses of differential diagnoses for rare diseases as well as genomic variation data of affected...

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To develop a conceptual prediction model framework containing standardized steps and describe the corresponding open-source software developed to consistently implement the framework across computational environments and observational heal...