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Controlling Informative Features for Improved Accuracy and Faster Predictions in Omentum Cancer Models

  Abstract Identification of suitable biomarkers for accurate prediction of phenotypic outcomes is a goal for personalized medicine. However, current machine learning approaches are either too complex or perform poorly. Here, a novel feature detection and engineering machine-learning framework is presented to address this need. First, the  Rip Curl  process is applied which generates a set of 10 additional features. Second, we rank all features including the  Rip Curl  features from which the top-ranked will most likely contain the most informative features for prediction of the underlying biological classes. The top-ranked features are used in model building. This process creates for more expressive features which are captured in models with an eye towards the model learning from increasing sample amount and the accuracy/time results. The performance of the proposed  Rip Curl  classification framework was tested on omentum cancer data.  Rip Curl  outperformed other more sophisticated
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Application of (bio) chemical engineering principles and lumping analysis in modelling the living systems

  Abstract The ”whole-cell” simulation of cell metabolic processes under considering a variable-volume modelling framework has been reviewed to prove their advantages when building-up modular model structures of simplified form that can reproduce complex protein syntheses inside cells. The more realistic “whole-cell-variable-volume” (VVWC) approach is reviewed when developing modular kinetic representations of the homeostatic gene expression regulatory modules (GERM) that control the protein synthesis and homeostasis of metabolic processes. The paper review the general concepts of the VVWC modelling, while the cited literature includes past and current experience with GERM linking rules in order to point-out how optimized globally efficient kinetic models for the genetic regulatory circuits (GRC) can be obtained to reproduce experimental observations. Based on quantitative regulatory indices evaluated vs. simulated dynamic and stationary environmental perturbations, the reviewed litera
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Easter Day Wishes - Juniper Publishers

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  Current Trends in Biomedical Engineering & Biosciences   Juniper Publishers
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Research as a Tool in the Elimination of Onchocerciasis_Juniper Publishers

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Current Trends in Biomedical Engineering & Biosciences   Juniper Publishers Adewale B* Mini Review Onchocerciasis is one of the five diseases referred to as preventive chemotherapy- Neglected Tropical Diseases (PC-NTDs). It affects 37 million people in 31 African countries as well as 3 countries in the Latin America and several areas in Yemen. Nigeria has the highest endemicity among countries responsible for 99% of infection globally. Blindness and severe skin manifestations are two major effects of the disease on affected populations with severe effects on affected communities. The disease is significantly a disease of the poor with economic implications resulting in further impoverishment of affected communities, a challenge to the achievement of SDGs 2 and 3 and national developmental goals. The main strategy for control in endemic countries is by mass ivermectin (Mectizan®) distribution. Mass distribution of ivermectin in Nigeria began in 1991 following survey
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Assessment of Different Sunflower Genotypes under Agro-Climatic Conditions of District Malakand Khyber-Pakhtunkhwa_Juniper Publishers

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Current Trends in Biomedical Engineering & Biosciences   Juniper Publishers Authored by Saif Ullah* Abstract The present study was conducted with the aim to evaluate sunflower hybrids under agro climatic conditions of district Malakand. A set of 8 sunflower hybrids was evaluated in randomized complete block design having two replications in spring 2014. Each sunflower genotype was sown in five meter long two rows 75cm apart with P-P distance 25cm. Data were recorded on yield and associated traits such as days to flower initiation, days to flower completion, days to maturity, plant height, head diameter, grain yield and 100 grain weight. Significant differences were observed among the genotypes for all the studied traits. The minimum days (80) to flower initiation were observed in Hybrid-14013 while maximum days (85) to flower initiation were observed in Hybrid-14009. Data regarding flower completion showed that Hybrid-14021 took maximum days (95) in flower completion
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Juniper Publishers: Distribution of Coastal and Marine Herpetofauna in...

Juniper Publishers: Distribution of Coastal and Marine Herpetofauna in... : Oceanography & Fisheries Open AccessJournal Juniper Publishers Authored by Sandeep Munjpara* Abstract The Gulf of Kachchh ...
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Juniper Publishers: Review of the book “Noonomy” by Sergey Bodrunov_Ju...

Juniper Publishers: Review of the book “Noonomy” by Sergey Bodrunov_Ju... : Global Journal of Archaeology & Anthropology Juniper Publishers Authored by Vladimir Plotnikov* Mini Review “Noonomy” by S...
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