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Application of molecular methods in the identification of ingredients in Chinese herbal medicines
K Han, M Wang, L Zhang, C Wang - Molecules, 2018 - mdpi.com
There are several kinds of Chinese herbal medicines originating from diverse sources.
However, the rapid taxonomic identification of large quantities of Chinese herbal medicines …
However, the rapid taxonomic identification of large quantities of Chinese herbal medicines …
[HTML][HTML] Estimation of dairy cow survival in the first three lactations for different culling reasons using the Kaplan–Meier method
W Grzesiak, K Adamczyk, D Zaborski, J Wójcik - Animals, 2022 - mdpi.com
Simple Summary From a breeding and production point of view, the length and quality of life
of dairy cows are directly determined (more or less) by voluntary decisions made by the …
of dairy cows are directly determined (more or less) by voluntary decisions made by the …
[PDF][PDF] Defining homogenous climate zones of Bangladesh using cluster analysis
Climate zones of Bangladesh are identified by using mathematical methodology of cluster
analysis. Monthly data from 34 climate stations for rainfall from 1991 to 2013 are used in the …
analysis. Monthly data from 34 climate stations for rainfall from 1991 to 2013 are used in the …
[PDF][PDF] Comparative study of K-means, partitioning around medoids, agglomerative hierarchical, and DIANA clustering algorithms by using cancer datasets
Clustering plays a particularly fundamental role in exploring data, creating predictions and to
overcome the anomalies in the data. Clusters that contain parallel, identical characteristics …
overcome the anomalies in the data. Clusters that contain parallel, identical characteristics …
Gene coexpression network comparison via persistent homology
Persistent homology, a topological data analysis (TDA) method, is applied to microarray
data sets. Although there are a few papers referring to TDA methods in microarray analysis …
data sets. Although there are a few papers referring to TDA methods in microarray analysis …
A comparison study of clustering algorithms in grou** microarray data
Clustering is the process of assembling related data items into a group that stands out from
the other things. Finding grou**s of genes that share co-expression in various settings …
the other things. Finding grou**s of genes that share co-expression in various settings …
[PDF][PDF] A Novel Clustering Techniques Evaluation using Monte Carlo Simulation. Research & Reviews: Journal of Statistics. 2021; 10 (3): 1–23p
MA Hamid, MN Islam, M Aktar… - A Novel Clustering …, 2021 - researchgate.net
Abstract In Machine Learning clustering is one the most significant method. Today, we have
data in rich from many sources but in order to get meaningful information from it is very …
data in rich from many sources but in order to get meaningful information from it is very …
[PDF][PDF] Microarray Data: A Powerful Method forIdentifying Differentially Expressed Genes
MB Hossen, MJ Ali, M Noorunnahar - researchgate.net
Microarray technology observing thousands of gene expressions at once, has been the most
popular research topics in recent decades. The new data promise to improve fundamental …
popular research topics in recent decades. The new data promise to improve fundamental …