Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
This study aimed to develop a novel blending machine learning (ML) model for hospital mortality prediction in ICU patients with s... (Source: BioData Mining)
Source: BioData Mining - August 16, 2021 Category: Bioinformatics Authors: Zhixuan Zeng, Shuo Yao, Jianfei Zheng and Xun Gong Tags: Research Source Type: research
Prediction of MoRFs based on sequence properties and convolutional neural networks
Intrinsically disordered proteins possess flexible 3-D structures, which makes them play an important role in a variety of biological functions. Molecular recognition features (MoRFs) act as an important type ... (Source: BioData Mining)
Source: BioData Mining - August 14, 2021 Category: Bioinformatics Authors: Hao He, Yatong Zhou, Yue Chi and Jingfei He Tags: Methodology Source Type: research
Probability calibration-based prediction of recurrence rate in patients with diffuse large B-cell lymphoma
Although many patients receive good prognoses with standard therapy, 30 –50% of diffuse large B-cell lymphoma (DLBCL) cases may relapse after treatment. Statistical or computational intelligent models are power... (Source: BioData Mining)
Source: BioData Mining - August 13, 2021 Category: Bioinformatics Authors: Shuanglong Fan, Zhiqiang Zhao, Yanbo Zhang, Hongmei Yu, Chuchu Zheng, Xueqian Huang, Zhenhuan Yang, Meng Xing, Qing Lu and Yanhong Luo Tags: Research Source Type: research
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient
The last decade has seen a major increase in the availability of genomic data. This includes expert-curated databases that describe the biological activity of genes, as well as high-throughput assays that meas... (Source: BioData Mining)
Source: BioData Mining - August 5, 2021 Category: Bioinformatics Authors: Haripriya Harikumar, Thomas P. Quinn, Santu Rana, Sunil Gupta and Svetha Venkatesh Tags: Research Source Type: research
GenoVault: a cloud based genomics repository
GenoVault is a cloud-based repository for handling Next Generation Sequencing (NGS) data. It is developed using OpenStack-based private cloud with various services like keystone for authentication, cinder for ... (Source: BioData Mining)
Source: BioData Mining - July 29, 2021 Category: Bioinformatics Authors: Sankalp Jain, Amit Saxena, Suprit Hesarur, Kirti Bhadhadhara, Neeraj Bharti, Sunitha Manjari Kasibhatla, Uddhavesh Sonavane and Rajendra Joshi Tags: Software article Source Type: research
Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis
This study aims to identify genes potentially implicated with CAVS in pati... (Source: BioData Mining)
Source: BioData Mining - July 23, 2021 Category: Bioinformatics Authors: Erika Cantor, Rodrigo Salas, Harvey Rosas and Sandra Guauque-Olarte Tags: Research Source Type: research
Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children
Identifying adverse drugs effects (ADEs) in children, overall and within pediatric age groups, is essential for preventing disability and death from marketed drugs. At the same time, however, detection is chal... (Source: BioData Mining)
Source: BioData Mining - July 22, 2021 Category: Bioinformatics Authors: Nicholas P. Giangreco and Nicholas P. Tatonetti Tags: Research Source Type: research
Machine-learning based feature selection for a non-invasive breathing change detection
Chronic Obstructive Pulmonary Disease (COPD) is one of the top 10 causes of death worldwide, representing a major public health problem. Researchers have been looking for new technologies and methods for patie... (Source: BioData Mining)
Source: BioData Mining - July 18, 2021 Category: Bioinformatics Authors: Juliana Alves Pegoraro, Sophie Lavault, Nicolas Wattiez, Thomas Similowski, J ésus Gonzalez-Bermejo and Etienne Birmelé Tags: Research Source Type: research
eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals
Genomic studies increasingly integrate expression quantitative trait loci (eQTL) information into their analysis pipelines, but few tools exist for the visualization of colocalization between eQTL and GWAS res... (Source: BioData Mining)
Source: BioData Mining - July 17, 2021 Category: Bioinformatics Authors: Theodore G. Drivas, Anastasia Lucas and Marylyn D. Ritchie Tags: Software article Source Type: research
A new pipeline for structural characterization and classification of RNA-Seq microbiome data
High-throughput sequencing enables the analysis of the composition of numerous biological systems, such as microbial communities. The identification of dependencies within these systems requires the analysis a... (Source: BioData Mining)
Source: BioData Mining - July 9, 2021 Category: Bioinformatics Authors: Sebastian Racedo, Ivan Portnoy, Jorge I. V élez, Homero San-Juan-Vergara, Marco Sanjuan and Eduardo Zurek Tags: Methodology Source Type: research
New neural network classification method for individuals ancestry prediction from SNPs data
Artificial Neural Network (ANN) algorithms have been widely used to analyse genomic data. Single Nucleotide Polymorphisms(SNPs) represent the genetic variations, the most common in the human genome, it has been s... (Source: BioData Mining)
Source: BioData Mining - June 28, 2021 Category: Bioinformatics Authors: H. Soumare, S. Rezgui, N. Gmati and A. Benkahla Tags: Research Source Type: research
A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is a disease with a high incidence and a poor prognosis. Growing amounts of evidence have shown that the immune system plays a critical role in the biological processes of HCC su... (Source: BioData Mining)
Source: BioData Mining - May 7, 2021 Category: Bioinformatics Authors: Qian Yan, Wenjiang Zheng, Boqing Wang, Baoqian Ye, Huiyan Luo, Xinqian Yang, Ping Zhang and Xiongwen Wang Tags: Research Source Type: research
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism
Machine learning approaches for predicting disease risk from high-dimensional whole genome sequence (WGS) data often result in unstable models that can be difficult to interpret, limiting the identification of... (Source: BioData Mining)
Source: BioData Mining - May 3, 2021 Category: Bioinformatics Authors: Maya Varma, Kelley M. Paskov, Brianna S. Chrisman, Min Woo Sun, Jae-Yoon Jung, Nate T. Stockham, Peter Y. Washington and Dennis P. Wall Tags: Research Source Type: research
Estimating sequencing error rates using families
As next-generation sequencing technologies make their way into the clinic, knowledge of their error rates is essential if they are to be used to guide patient care. However, sequencing platforms and variant-ca... (Source: BioData Mining)
Source: BioData Mining - April 23, 2021 Category: Bioinformatics Authors: Kelley Paskov, Jae-Yoon Jung, Brianna Chrisman, Nate T. Stockham, Peter Washington, Maya Varma, Min Woo Sun and Dennis P. Wall Tags: Research Source Type: research
Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines
As per the 2017 WHO fact sheet, Coronary Artery Disease (CAD) is the primary cause of death in the world, and accounts for 31% of total fatalities. The unprecedented 17.6 million deaths caused by CAD in 2016 u... (Source: BioData Mining)
Source: BioData Mining - April 15, 2021 Category: Bioinformatics Authors: Seema Singh Saharan, Pankaj Nagar, Kate Townsend Creasy, Eveline O. Stock, James Feng, Mary J. Malloy and John P. Kane Tags: Research Source Type: research
