Review of machine learning methods for the prediction and reconstruction of metabolic pathways

HA Shah, J Liu, Z Yang, J Feng - Frontiers in Molecular Biosciences, 2021 - frontiersin.org
Prediction and reconstruction of metabolic pathways play significant roles in many fields
such as genetic engineering, metabolic engineering, drug discovery, and are becoming the …

K and starting means for k-means algorithm

A Fahim - Journal of Computational Science, 2021 - Elsevier
The k-means method aims to divide a set of N objects into k clusters, where each cluster is
represented by the mean value of its objects. This algorithm is simple and converges to local …

[HTML][HTML] Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering

B Mullick, R Magar, A Jhunjhunwala… - Computers in biology and …, 2021 - Elsevier
The SARS-CoV-2 virus like many other viruses has transformed in a continual manner to
give rise to new variants by means of mutations commonly through substitutions and indels …

DeLUCS: Deep learning for unsupervised clustering of DNA sequences

P Millán Arias, F Alipour, KA Hill, L Kari - Plos one, 2022 - journals.plos.org
We present a novel De ep L earning method for the U nsupervised C lustering of DNA S
equences (DeLUCS) that does not require sequence alignment, sequence homology, or …

Systematic Literature Review: Virus Prediction Based on DNA Sequences using Machine Learning and Deep Learning method

W Santoso, K Hulliyah, W Nurjannah… - … on Cyber and IT …, 2022 - ieeexplore.ieee.org
Many methods used to do viruses prediction both with Machine Learning and Deep
Learning algorithms. By using these methods, DNA sequence data can be categorized more …

[PDF][PDF] Clustering behavioral patterns using process data in PIAAC problem-solving items

Q He, D Liao, H Jiao - … and practical advances in computer-based …, 2019 - library.oapen.org
Technical advances provide the possibility of capturing timing and process data as test
takers solve digital problems in computer-based assessments. The data collected in log …

Clustering Kecamatan Di Kota Bandung Berdasarkan Indikator Jumlah Penduduk Dengan Menggunakan Algoritma K-Means

S Wulandari - Semnas Ristek (Seminar Nasional Riset …, 2020 - proceeding.unindra.ac.id
Indonesia merupakan negara dengan jumlah penduduk terbesar ke-4 di dunia. Salah satu
kota terbesar di Indonesia adalah Bandung. Hal itu dibuktikan dengan meningkatnya jumlah …

[图书][B] Bioinformatics: methods and applications

DB Singh, RK Pathak - 2021 - books.google.com
Bioinformatics: Methods and Applications provides a thorough and detailed description of
principles, methods, and applications of bioinformatics in different areas of life sciences. It …

Leveraging machine learning for taxonomic classification of emerging astroviruses

F Alipour, C Holmes, YY Lu, KA Hill… - Frontiers in Molecular …, 2024 - frontiersin.org
Astroviruses are a family of genetically diverse viruses associated with disease in humans
and birds with significant health effects and economic burdens. Astrovirus taxonomic …

DNA sequence of hepatitis B virus clustering using hierarchical k-means algorithm

L Muflikhah, WF Mahmudy - 2019 IEEE 6th International …, 2019 - ieeexplore.ieee.org
Hepatitis B virus infection is one of the causes of hepatocellular carcinoma. It is a kind of
DNA virus and has highly various genetic. In bioinformatics research, molecular evolution …