Amy H.Y. Tong, Marie Evangelista, Ainslie B. Parsons, Hong Xu et al.
In Saccharomyces cerevisiae, more than 80% of the approximately 6200 predicted genes are nonessential, implying that the genome is buffered from the phenotypic consequences of genetic perturbation. To evaluate function, we developed a method for systematic construction of double mutants, termed synt...
Wei Zhao, Asif Rasheed, Emmi Tikkanen, Jung‐Jin Lee et al.
To evaluate the shared genetic etiology of type 2 diabetes (T2D) and coronary heart disease (CHD), we conducted a genome-wide, multi-ancestry study of genetic variation for both diseases in up to 265,678 subjects for T2D and 260,365 subjects for CHD. We identify 16 previously unreported loci for T2D...
Nurul A. Asif, Yeahia Sarker, Ripon K. Chakrabortty, Michael J. Ryan et al.
This review provides a comprehensive overview of the state-of-the-art methods of graph-based networks from a deep learning perspective. Graph networks provide a generalized form to exploit non-euclidean space data. A graph can be visualized as an aggregation of nodes and edges without having any ord...
Md Rezanur Rahman, Tania Islam, Toyfiquz Zaman, Md. Shahjaman et al.
Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by the accumulation of amyloid plaques and neurofibrillary tangles in the brain. However, there are no peripheral biomarkers available that can detect AD onset. This study aimed to identify the molecular signatures in ...
Nasimul Noman, Hitoshi Iba
We present a memetic algorithm for evolving the structure of biomolecular interactions and inferring the effective kinetic parameters from the time series data of gene expression using the decoupled Ssystem formalism. We propose an Information Criteria based fitness evaluation for gene network model...
Edwin J. C. G. van den Oord, Patrick F. Sullivan, Yuxin Jiang, Dermot Walsh et al.
A recent report showed significant associations between several SNPs in a previously unknown EST cluster with schizophrenia. (1). The cluster was identified as the human dystrobrevin binding protein 1 gene (DTNBP1) by sequence database comparisons and homology with mouse DTNBP1. (2). However, the li...
Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, Md. Menhazul Abedin et al.
OBJECTIVE A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative study of different machine learning (ML) systems wh...
Md. Sarwar Kamal, Aden Northcote, Linkon Chowdhury, Nilanjan Dey et al.
There are more than 10 million new cases of Alzheimer's patients worldwide each year, which means there is a new case every 3.2 s. Alzheimer's disease (AD) is a progressive neurodegenerative disease and various machine learning (ML) and image processing methods have been used to detect it. In this s...
Md Rezanur Rahman, Tania Islam, Beste Turanlı, Toyfiquz Zaman et al.
Alzheimer's disease (AD) is a dynamic degeneration of the brain with progressive dementia. Considering the uncertainties in its molecular mechanism, in the present study, we employed network-based integrative analyses, and aimed to explore the key molecules and their associations with small drugs to...
Brandon L. Pierce, Tong Lin, Lin Chen, Ronald Rahaman et al.
A large fraction of human genes are regulated by genetic variation near the transcribed sequence (cis-eQTL, expression quantitative trait locus), and many cis-eQTLs have implications for human disease. Less is known regarding the effects of genetic variation on expression of distant genes (trans-eQT...
Xiangning Chen, Cynthia Dunham, Seth Kendler, Xu Wang et al.
The regulator of the G-protein signaling 4 (RGS4) gene was shown to have a different expression pattern in schizophrenia patients in a microarray study. A family-based study subsequently implicated the association of this gene with schizophrenia. We replicated the study with our sample from the Iris...
Ashis Kumer Biswas, Nasimul Noman, Abdur R. Sikder
BACKGROUND: Most of the existing in silico phosphorylation site prediction systems use machine learning approach that requires preparing a good set of classification data in order to build the classification knowledge. Furthermore, phosphorylation is catalyzed by kinase enzymes and hence the kinase ...
Tasnimul Alam Taz, Kawsar Ahmed, Bikash Kumar Paul, Md Kawsar et al.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is accountable for the cause of coronavirus disease (COVID-19) that causes a major threat to humanity. As the spread of the virus is probably getting out of control on every day, the epidemic is now crossing the most dreadful phase. Idiopa...
Lohith Madireddy, Nikolaos A. Patsopoulos, Chris Cotsapas, Steffan D. Bos et al.
Genome-wide association studies (GWAS) have identified more than 50,000 unique associations with common human traits. While this represents a substantial step forward, establishing the biology underlying these associations has proven extremely difficult. Even determining which cell types and which p...
Christopher D. Hart, Alessia Vignoli, Leonardo Tenori, Gemma Leonora Uy et al.
Abstract Purpose: Detecting signals of micrometastatic disease in patients with early breast cancer (EBC) could improve risk stratification and allow better tailoring of adjuvant therapies. We previously showed that postoperative serum metabolomic profiles were predictive of relapse in a single-cent...