Review of machine learning methods for the prediction and reconstruction of metabolic pathways
Prediction and reconstruction of metabolic pathways play significant roles in many fields
such as genetic engineering, metabolic engineering, drug discovery, and are becoming the …
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 …
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
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 …
give rise to new variants by means of mutations commonly through substitutions and indels …
DeLUCS: Deep learning for unsupervised clustering of DNA sequences
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 …
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 …
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
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 …
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 …
kota terbesar di Indonesia adalah Bandung. Hal itu dibuktikan dengan meningkatnya jumlah …
[图书][B] Bioinformatics: methods and applications
Bioinformatics: Methods and Applications provides a thorough and detailed description of
principles, methods, and applications of bioinformatics in different areas of life sciences. It …
principles, methods, and applications of bioinformatics in different areas of life sciences. It …
Leveraging machine learning for taxonomic classification of emerging astroviruses
Astroviruses are a family of genetically diverse viruses associated with disease in humans
and birds with significant health effects and economic burdens. Astrovirus taxonomic …
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 …
DNA virus and has highly various genetic. In bioinformatics research, molecular evolution …