Bharuno Mahesworo
A5064236444- Digestive system and related health
- Genetic Associations and Epidemiology
- Topic Modeling
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Liver Disease Diagnosis and Treatment
- Colorectal Cancer Screening and Detection
- Genetic Mapping and Diversity in Plants and Animals
- Physical Activity and Health
- Obesity, Physical Activity, Diet
- Technology Adoption and User Behaviour
- Identification and Quantification in Food
- Genetics and Neurodevelopmental Disorders
- Genetic and phenotypic traits in livestock
- Behavioral Health and Interventions
- Information Retrieval and Data Mining
- Bioinformatics and Genomic Networks
- Heart Rate Variability and Autonomic Control
- BRCA gene mutations in cancer
- Genetic factors in colorectal cancer
- Sleep and Work-Related Fatigue
- Epigenetics and DNA Methylation
- Cancer, Lipids, and Metabolism
- Gene expression and cancer classification
- Agricultural and Environmental Management
Binus University
2019-2023
Lampung University
2021
One of the common and important post-translational modification (PTM) types is phosphorylation. Protein phosphorylation used to regulate various enzyme receptor activations which include signal pathways. There have been many significant studies conducted predict sites using machine learning methods. Recently, several researchers claimed deep based methods as best for sited prediction. However, performance these were backed up with massive training data in researches. In this paper, we study...
Abstract Indonesia is one of the biggest palm oil exporters in world. For to stay competitive thepalm industry, harvesting and evacuating process its plantation need be optimized. This research introduces machinerycalled as Smart Crane Grabber. machinery can used for automatic evacuation fresh fruit bunch. To enable automation, Grabber equipped with an Artificial Intelligencesystem ripeness sorting. TheArtificial Intelligence system developed achieves 71.34% accuracy by using only 400 images...
Recently there has been an interest in predicting complex disease risk using models that combine the effects of many genetic factors together. These are known as polygenic and useful evaluating patients. models, however, often do not include important non-genetic to prediction disease. In this paper, we explore colorectal cancer Indonesia from common machine learning algorithms: XGBoost Elastic Net. The result study identified 8 features with strong importance both We recommend including...
Diabetes is an established risk factor for colorectal cancer. However, the mechanisms underlying this relationship still require investigation and it not known if association modified by genetic variants. To address these questions, we undertook a genome-wide gene-environment interaction analysis.
Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet obesity. Gene-environment interactions (G × E) provide biological insights into the effects of obesity on colorectal risk. Here, we assessed potential genome-wide G E between body mass index (BMI) common SNPs for using data from 36,415 cases 48,451 controls three international consortia (CCFR, CORECT, GECCO). The tests included conventional logistic regression multiplicative terms (one...
Abstract A novel putative D-allulose 3-epimerase (DAEase) named CcDAE with the accession number of WP_183335203.1 was discovered in this study from Chelatococcus composti genome using silico mining method. The sequence, which retrieved strain CGMCC 1.15283 and became first reported species. sequence length 282 aa a molecular weight prediction 30.504 kDa. analysis disclosed high conservation at residues building metal binding site substrate site. phylogenetic tree also that closest related...
Abstract Background: Currently known associations between common genetic variants and colorectal cancer explain less than half of its heritability 25%. As alcohol consumption has a J-shape association with risk, nondrinking heavy drinking are both risk factors for cancer. Methods: Individual-level data was pooled from the Colon Cancer Family Registry, Colorectal Transdisciplinary Study, Genetics Epidemiology Consortium to compare nondrinkers (≤1 g/day) drinkers (>28 light-to-moderate...
Ancestry estimation which provides family history information is one of the most popular services in direct-to-consumer genomic testing. It also an important task aimed to reduce confounding by ancestry on relationship genotypes and disease risk assocation studies. Several methods have been developed generate best estimated scores even though some them are still facing inefficient computation time. In this paper, a combination method between KMeans clustering PCA proposed estimate from SNP...
Abstract Channa striata or the striped snakehead fish is one of species which inhabits all types freshwater bodies distributed across Asian countries. Because this known to have higher albumin fraction (64.61%) protein and other economic values, domestication, cultivation has been done in many countries such as Indonesia, China, Malaysia, Thailand, Bangladesh, India. Environmental factors temperature, water pH, dissolved oxygen, total solids, turbidity are important parameters must be...
Abstract With the increasing global demands of coffee, Indonesia need to increase their coffee beans supply and improve quality maintain its position in international industry. One most important coffeepre-processing, bean roasting, is under developed Indonesia. farmers prefer use traditional cauldron roast beans. Roasting using inefficient resulting unequal roasted level for In this study, we proposed atemperature control system based on fuzzy logic roaster machine. The controls temperature...
Background Conventional in vivo methods for post-translational modification site prediction such as spectrophotometry, Western blotting, and chromatin immune precipitation can be very expensive time-consuming. Neural networks (NN) are one of the computational approaches that predict effectively site. We developed a neural network model, namely Sequential Spatial Methylation Fusion Network (SSMFN), to possible methylation sites on protein sequences. Method designed our model able extract...
Epidemiological and experimental evidence suggests that higher folate intake is associated with a decreased colorectal cancer (CRC) risk; however, the mechanisms underlying this relationship are not fully understood. Genetic variation may have direct or indirect impact on metabolism can provide insights into folate's role in CRC. Our aim was to perform genome-wide interaction analysis identify genetic variants modify association of CRC risk. We applied traditional case-control logistic...
To maintain a good fitness level, performing minimum daily physical activity is important. Many people think that they have already met the suggested guidelines. However, most of them were wrong when quantify their level using personal tracker device. This problem indicates need for or wearable device to level. as wide-range devices available today, it difficult find suitable one regarding price and quality. paper proposes study explore association between quality devices. The evaluated by...
Currently, the society is very critical and demands valid information transparency. Information transparency needed to maintain good governance can also prevent corruption. However, on sustainability of development programs carried out by government much unknown public. In addition, must be burdened with public dissatisfaction due fake news (hoax). The Ministry Public Works has tried build a website disseminate its programs. measurement quality needed. This study uses questionnaires Likert...
Genomics study, as opposed to socio-anthropology, has been demonstrated an excellent tool picture biological relatedness and disease risk factors. To analyze the data obtained from Genome-wide Association Study (GWAS) more than decades known mainstay approach., is most popular approach in analysing genomics data. The confounding variables selection, being that ancestry estimation or population stratification, substantial maintain quality of GWAS. Researchers have developed various methods...
Abstract Background: Sleep is commonly associated with physical and mental health status. quality can be determined from the dynamic of sleep stages during night. Data wearable device potentially used as predictors to classify stage. Robust Machine Learning (ML) model needed learn pattern within data sleep-wake classification, especially handle imbalanced proportion between wake stages. In this study, we incorporated a publicy available dataset consists three features captured consumer...
Technology Acceptance Model (TAM) framework was utilized in this study. Its purpose to determine the correlation between independent variables consisting of Perceived Ease Use (PEU), Usefulness (PU), Attitude toward Using (AU) with dependent variable Behavioral Intention (BIU). Data collection techniques were carried out by distributing questionnaires through group discussion forums. Respondents consisted medical workers and health cadres both Jakarta Yogyakarta. analyzed using test t-test....
Abstract Given the continuous increase in world population, producing more food is necessary. The majority of people across consume rice as main food. Thus, it essential to produce plants be able feed growing population. Molecular biology techniques have advanced rapidly, allowing exploration and discovery various by examining their DNA genome, which called barcoding. This paper aims develop a pipeline for identification utilizing barcoding approach. We chose rbcL gene target region Then, we...
Genome-wide association studies (GWAS) are performed to study the associations between genetic variants with respect certain phenotypic traits such as cancer. However, method that is commonly used in GWAS assumes solely affected by a single mutation. We propose network analysis method, which we generate networks of single-nucleotide polymorphisms (SNPs) can differentiate case and control groups. hypothesize attributable mutations groups associated SNPs.We based on framework SNP-SNP...
The number of findings in cancer genomics research has grown rapidly the last decade due to decline cost human sequencing and genotyping. However, majority reported significant marker associated with traits are based on European East Asian population. Large population such as South South-East under-represented research. In this study, we explored possibility computing a Polygenic Risk Score (PRS) colorectal our test sample Single Nucleotide Polymorphism (SNP). SNPs used compute risk score...
<div>Abstract<p>Colorectal cancer (CRC) risk can be impacted by genetic, environmental, and lifestyle factors, including diet obesity. Gene-environment (G×E) interactions provide biological insights into the effects of obesity on CRC risk. Here, we assessed potential genome-wide G×E between body mass index (BMI) common single nucleotide polymorphisms (SNPs) for using data from 36,415 cases 48,451 controls three international consortia (CCFR, CORECT, GECCO). The tests included...
<p>supplementary materials</p>