7 Works

Additional file 1 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers

Abdu Rehaman Pasha Syed, Rahul Anbalagan, Anagha S. Setlur, Chandrashekar Karunakaran, Jyoti Shetty, Jitendra Kumar & Vidya Niranjan
Additional file 1. The proposed ensemble learning model carried out on the synthetic dataset generated by the CTGAN method.

Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers

Abdu Rehaman Pasha Syed, Rahul Anbalagan, Anagha S. Setlur, Chandrashekar Karunakaran, Jyoti Shetty, Jitendra Kumar & Vidya Niranjan
Abstract Classification of different cancer types is an essential step in designing a decision support model for early cancer predictions. Using various machine learning (ML) techniques with ensemble learning is one such method used for classifications. In the present study, various ML algorithms were explored on twenty exome datasets, belonging to 5 cancer types. Initially, a data clean-up was carried out on 4181 variants of cancer with 88 features, and a derivative dataset was obtained...

Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers

Abdu Rehaman Pasha Syed, Rahul Anbalagan, Anagha S. Setlur, Chandrashekar Karunakaran, Jyoti Shetty, Jitendra Kumar & Vidya Niranjan
Abstract Classification of different cancer types is an essential step in designing a decision support model for early cancer predictions. Using various machine learning (ML) techniques with ensemble learning is one such method used for classifications. In the present study, various ML algorithms were explored on twenty exome datasets, belonging to 5 cancer types. Initially, a data clean-up was carried out on 4181 variants of cancer with 88 features, and a derivative dataset was obtained...

Additional file 2 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers

Abdu Rehaman Pasha Syed, Rahul Anbalagan, Anagha S. Setlur, Chandrashekar Karunakaran, Jyoti Shetty, Jitendra Kumar & Vidya Niranjan
Additional file 2. The synthetic dataset generated through TVAE method.

Functional miscibility and thermomechanical properties enhancement of substituted phthalic acetylated modified chitin filler in biopolymer composite

Niyi Olaiya, O.S. Obaseki, Gaber A.M. Mersal, Mohamed M. Ibrahim, Mahmoud M. Hessien, Funmilayo Olaiya, Asif Afzal, Taslima Khanam & Ahmad Rashedi
The miscibility between hydrophobic and hydrophilic biopolymers has been of significant challenge. This study used a novel simplified chitin modification method to produce phthalic - chitin using phthalic anhydride in a substitution reaction. The FT-IR functional group analysis was used to confirm the substitution reaction. The modified chitin was used as compatibiliser in PLA/starch biocomposite to enhance its properties. The biocomposite was prepared using melt extrusion and compression moulding technique. The biocomposite's morphological, thermomechanical, and...

Additional file 2 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers

Abdu Rehaman Pasha Syed, Rahul Anbalagan, Anagha S. Setlur, Chandrashekar Karunakaran, Jyoti Shetty, Jitendra Kumar & Vidya Niranjan
Additional file 2. The synthetic dataset generated through TVAE method.

Additional file 1 of Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers

Abdu Rehaman Pasha Syed, Rahul Anbalagan, Anagha S. Setlur, Chandrashekar Karunakaran, Jyoti Shetty, Jitendra Kumar & Vidya Niranjan
Additional file 1. The proposed ensemble learning model carried out on the synthetic dataset generated by the CTGAN method.

Registration Year

  • 2022
    7

Resource Types

  • Dataset
    5
  • Collection
    2

Affiliations

  • Visvesvaraya Technological University
    7
  • Taif University
    1
  • Federal University of Technology
    1
  • Universiti Sains Malaysia
    1
  • Charles Darwin University
    1
  • Landmark University
    1