Md. Maniruzzaman, Nishith Kumar, Md. Menhazul Abedin, Md. Shaykhul Islam et al.
Background and objective Diabetes is a silent killer. The main cause of this disease is the presence of excessive amounts of metabolites such as glucose. There were about 387 million diabetic people all over the world in 2014. The financial burden of this disease has been calculated to be about $13,...
Md. Maniruzzaman, Harman S. Suri, Nishith Kumar, Md. Menhazul Abedin et al.
BACKGROUND: Child and neonatal mortality is a serious problem in Bangladesh. The main objective of this study was to determine the most significant socio-economic factors (covariates) between the years 2011 and 2014 that influences on neonatal and child mortality and to further suggest the plausible...
Nishith Kumar, Md. Aminul Hoque, Masahiro Sugimoto
BACKGROUND: The identification of differential metabolites in metabolomics is still a big challenge and plays a prominent role in metabolomics data analyses. Metabolomics datasets often contain outliers because of analytical, experimental, and biological ambiguity, but the currently available differ...
Nishith Kumar, Md. Shahjaman, Md. Nurul Haque Mollah, S. M. Shahinul Islam et al.
In drug invention and early disease prediction of lung cancer, metabolomic biomarker detection is very important. Mortality rate can be decreased, if cancer is predicted at the earlier stage. Recent diagnostic techniques for lung cancer are not prognosis diagnostic techniques. However, if we know th...
Nishith Kumar, Md. Aminul Hoque, Md. Shahjaman, S. M. Shahinul Islam et al.
Metabolomics is the sophisticated and high-throughput technology based on the entire set of metabolites which is known as the connector between genotypes and phenotypes. For any phenotypic changes, potential metabolite (biomarker) identification is very important because it provides diagnostic as we...
Nishith Kumar, Md. Aminul Hoque, Md. Shahjaman, Shofiqul Islam et al.
Background: Metabolomics data generation and quantification are different from other types of molecular “omics” data in bioinformatics. Mass spectrometry (MS) based (gas chromatography mass spectrometry (GC-MS), liquid chromatography mass spectrometry (LC-MS), etc.) metabolomics data frequently cont...
Darryl P. Leong, Rita Yusuf, Romaina Iqbal, Álvaro Avezum et al.
BACKGROUND: Current strategies to prevent adverse cardiovascular outcomes focus primary prevention in high-risk groups and secondary prevention in people with known cardiovascular disease. We aimed to determine the proportion of events occurring in lower-risk groups globally. METHODS: We included pe...
Nishith Kumar, Md. Aminul Hoque, Masahiro Sugimoto
Mass spectrometry is a modern and sophisticated high-throughput analytical technique that enables large-scale metabolomic analyses. It yields a high-dimensional large-scale matrix (samples × metabolites) of quantified data that often contain missing cells in the data matrix as well as outliers that ...
Md. Shahjaman, Nishith Kumar, Mohammad Manir Hossain Mollah, Md. Shakil Ahmed et al.
Identification of differentially expressed (DE) genes with two or more conditions is an important task for discovery of few biomarker genes. Significance Analysis of Microarrays (SAM) is a popular statistical approach for identification of DE genes for both small- and large-sample cases. However, it...
Muhammad Habibulla Alamin, Md. Matiur Rahaman, Farzana Ferdousi, Arnob Sarker et al.
COVID-19 caused by SARS-CoV-2 is a global health issue. It is yet a severe risk factor to the patients, who are also suffering from one or more chronic diseases including different lung diseases. In this study, we explored common molecular signatures for which SARS-CoV-2 infections and different lun...
Md. Shahjaman, Nishith Kumar, Shakil Ahmed, AnjumanAra Begum et al.
Patient classification through feature selection (FS) based on gene expression data (GED) has already become popular to the research communities. T-test is the well-known statistical FS method in GED analysis. However, it produces higher false positives and lower accuracies for small sample sizes or...
B.N. Biswas, Nishith Kumar, Md. Matiur Rahaman, Sukanta Das et al.
BACKGROUND: Socioeconomic inequality in antenatal care visits is a great concern in developing countries including Bangladesh; however, there is a scarcity of investigation to assess the factors of inequality and these changes over time. In this study, we investigated the trend of socioeconomic ineq...
Nishith Kumar, Mohammed Nasser, Subaran Chandra Sarker
An attempt is made to study mathematical properties of singular value decomposition (SVD) and its data exploring capacity and to apply them to make exploratory type clustering for 10 climatic variables and thirty weather stations in Bangladesh using a newly developed graphical technique. Findings in...
Vincenzo Penteriani, Giulia Bombieri, María del Mar Delgado, Thomas R. Sharp et al.
The media and scientific literature are increasingly reporting an escalation of large carnivore attacks on humans, mainly in the so-called developed countries, such as Europe and North America. Although large carnivore populations have generally increased in developed countries, increased numbers ar...
Sofia Amaral, Girija Borker, Nathan Fiala, Anjani Kumar et al.
Abstract We conduct a randomized controlled trial to evaluate the effect of an innovative police patrol program on sexual harassment in public spaces in Hyderabad, India. In collaboration with the Hyderabad City Police, we randomize exposure to police patrols and the visibility of officers by deploy...