Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis
This study proposes a novel framework to discover gene signatures and patterns in... (Source: BioData Mining)
Source: BioData Mining - April 14, 2021 Category: Bioinformatics Authors: Cl áudia S. Constantino, Alexandra M. Carvalho and Susana Vinga Tags: Methodology Source Type: research
Prescreening and treatment of aortic dissection through an analysis of infinite-dimension data
Aortic dissection (AD) is one of the most catastrophic aortic diseases associated with a high mortality rate. In contrast to the advances in most cardiovascular diseases, both the incidence and in-hospital mor... (Source: BioData Mining)
Source: BioData Mining - April 1, 2021 Category: Bioinformatics Authors: Peng Qiu, Yixuan Li, Kai Liu, Jinbao Qin, Kaichuang Ye, Tao Chen and Xinwu Lu Tags: Research Source Type: research
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data
Acute heart failure (AHF) is associated with significant morbidity and mortality. Effective patient risk stratification is essential to guiding hospitalization decisions and the clinical management of AHF. Cli... (Source: BioData Mining)
Source: BioData Mining - March 31, 2021 Category: Bioinformatics Authors: Ashwath Radhachandran, Anurag Garikipati, Nicole S. Zelin, Emily Pellegrini, Sina Ghandian, Jacob Calvert, Jana Hoffman, Qingqing Mao and Ritankar Das Tags: Research Source Type: research
Ten important roles for academic leaders to promote equity, diversity, and inclusion in data science
(Source: BioData Mining)
Source: BioData Mining - March 30, 2021 Category: Bioinformatics Authors: Jason H. Moore, Van Q. Truong, Ashley B. Robbins, David Nicholson and Clar Lynda Williams-Devane Tags: Editorial Source Type: research
A multi-feature hybrid classification data mining technique for human-emotion
The ideal treatment of illnesses is the interest of every era. Data innovation in medical care has become extremely quick to analyze diverse diseases from the most recent twenty years. In such a finding, past ... (Source: BioData Mining)
Source: BioData Mining - March 29, 2021 Category: Bioinformatics Authors: Y. Wang, Y. M. Chu, A. Thaljaoui, Y. A. Khan, W. Chammam and S. Z. Abbas Tags: Research Source Type: research
Indels in SARS-CoV-2 occur at template-switching hotspots
The evolutionary dynamics of SARS-CoV-2 have been carefully monitored since the COVID-19 pandemic began in December 2019. However, analysis has focused primarily on single nucleotide polymorphisms and largely ... (Source: BioData Mining)
Source: BioData Mining - March 20, 2021 Category: Bioinformatics Authors: Brianna Sierra Chrisman, Kelley Paskov, Nate. Stockham, Kevin Tabatabaei, Jae-Yoon Jung, Peter Washington, Maya Varma, Min Woo Sun, Sepideh Maleki and Dennis P. Wall Tags: Research Source Type: research
RASMA: a reverse search algorithm for mining maximal frequent subgraphs
Given a collection of coexpression networks over a set of genes, identifying subnetworks that appear frequently is an important research problem known as mining frequent subgraphs. Maximal frequent subgraphs a... (Source: BioData Mining)
Source: BioData Mining - March 16, 2021 Category: Bioinformatics Authors: Saeed Salem, Mohammed Alokshiya and Mohammad Al Hasan Tags: Research Source Type: research
Genetic risk score for ovarian cancer based on chromosomal-scale length variation
Twin studies indicate that a substantial fraction of ovarian cancers should be predictable from genetic testing. Genetic risk scores can stratify women into different classes of risk. Higher risk women can be ... (Source: BioData Mining)
Source: BioData Mining - March 9, 2021 Category: Bioinformatics Authors: Christopher Toh and James P. Brody Tags: Research Source Type: research
A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotype
For gene-gene interaction analysis, the multifactor dimensionality reduction (MDR) method has been widely employed to reduce multi-levels of gene-gene interactions into high- or low-risk groups using a binary ... (Source: BioData Mining)
Source: BioData Mining - March 1, 2021 Category: Bioinformatics Authors: Jung Wun Lee and Seungyeoun Lee Tags: Methodology Source Type: research
Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure
In genome-wide association studies the extent and impact of confounding due to population structure have been well recognized. Inadequate handling of such confounding is likely to lead to spurious associations... (Source: BioData Mining)
Source: BioData Mining - February 19, 2021 Category: Bioinformatics Authors: Fentaw Abegaz, Fran çois Van Lishout, Jestinah M. Mahachie John, Kridsadakorn Chiachoompu, Archana Bhardwaj, Diane Duroux, Elena S. Gusareva, Zhi Wei, Hakon Hakonarson and Kristel Van Steen Tags: Methodology Source Type: research
DASSI: differential architecture search for splice identification from DNA sequences
The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. The demand for robust algorit... (Source: BioData Mining)
Source: BioData Mining - February 15, 2021 Category: Bioinformatics Authors: Shabir Moosa, Prof. Abbes Amira and Dr. Sabri Boughorbel Tags: Research Source Type: research
Gene function finding through cross-organism ensemble learning
Structured biological information about genes and proteins is a valuable resource to improve discovery and understanding of complex biological processes via machine learning algorithms. Gene Ontology (GO) cont... (Source: BioData Mining)
Source: BioData Mining - February 12, 2021 Category: Bioinformatics Authors: Gianluca Moro and Marco Masseroli Tags: Methodology Source Type: research
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
Evaluating binary classifications is a pivotal task in statistics and machine learning, because it can influence decisions in multiple areas, including for example prognosis or therapies of patients in critica... (Source: BioData Mining)
Source: BioData Mining - February 4, 2021 Category: Bioinformatics Authors: Davide Chicco, Niklas T ötsch and Giuseppe Jurman Tags: Methodology Source Type: research
Data analytics and clinical feature ranking of medical records of patients with sepsis
Sepsis is a life-threatening clinical condition that happens when the patient ’s body has an excessive reaction to an infection, and should be treated in one hour. Due to the urgency of sepsis, doctors and phys... (Source: BioData Mining)
Source: BioData Mining - February 3, 2021 Category: Bioinformatics Authors: Davide Chicco and Luca Oneto Tags: Research Source Type: research
Acoustic and language analysis of speech for suicidal ideation among US veterans
Screening for suicidal ideation in high-risk groups such as U.S. veterans is crucial for early detection and suicide prevention. Currently, screening is based on clinical interviews or self-report measures. Bo... (Source: BioData Mining)
Source: BioData Mining - February 2, 2021 Category: Bioinformatics Authors: Anas Belouali, Samir Gupta, Vaibhav Sourirajan, Jiawei Yu, Nathaniel Allen, Adil Alaoui, Mary Ann Dutton and Matthew J. Reinhard Tags: Research Source Type: research
