Tag: chi2

Is chi-square test suitable for my categorical data?

Is chi-square test suitable for my categorical data? 0 Dear all, I have a two-column data frame (head is attached below) and both of them contain strings. The first column contains the location information of genes that are either “5p” or “3p”. And the second column has information if “Frameshift”…

Continue Reading Is chi-square test suitable for my categorical data?

Spatially resolved multiomics of human cardiac niches

Research ethics for donor tissues All heart tissue samples were obtained from transplant donors after Research Ethics Committee approval and written informed consent from donor families as previously described2. The following ethics approvals for donors of additional heart tissue were obtained: D8 and A61 (REC reference 15/EE/0152, East of England…

Continue Reading Spatially resolved multiomics of human cardiac niches

Regression Using scikit Kernel Ridge Regression — Visual Studio Magazine

The Data Science Lab Regression Using scikit Kernel Ridge Regression By James McCaffrey 07/06/2023 A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, State…

Continue Reading Regression Using scikit Kernel Ridge Regression — Visual Studio Magazine

MacKerell Lab

Proteins C36m Protein Huang, J., Rauscher, S., Nawrocki, G., Ran, T., Feig, M, de Groot, B.L., Grubmuller, H., and MacKerell, A.D., Jr., “CHARMM36m: An Improved Force Field for Folded and Intrinsically Disordered Proteins,” Nature Methods, 14:71-73, 2016, PMC5199616,[DOI] C36 Protein Best, R.B., Zhu, X., Shim, J., Lopes, P.E.M., Mittal, J.,…

Continue Reading MacKerell Lab

Help with my fasta filter python scrips

Hi guys, I am very new and dummy with python and I try to write a script to filter some alignments. The filter works removing the sequences for every alignment with a chi2 < 0.05 and writing a new fasta files without those sequences, but I have a problem. I…

Continue Reading Help with my fasta filter python scrips

SVM with Univariate Feature Selection in Scikit Learn

Support Vector Machines (SVM) is a powerful machine learning algorithm used for classification and regression analysis. It is based on the idea of finding the optimal boundary between two classes that maximizes the margin between them. However, the challenge with SVM is that it requires a large amount of computational…

Continue Reading SVM with Univariate Feature Selection in Scikit Learn

anomaly detection machine learning kaggle

What is Anomaly Detection? Anomaly detection, also known as outlier detection or novelty detection, is a method of identifying uncommon events, or data points that don’t conform to the expected pattern in a dataset. Anomaly detection is used in a wide range of applications, such as networking and security-related areas,…

Continue Reading anomaly detection machine learning kaggle

Adaptations of Pseudoxylaria towards a comb-associated lifestyle in fungus-farming termite colonies

Genome reduction is associated with a termite comb-associated lifestyle For our studies, we collected fungus comb samples originating from mounds of Macrotermes natalensis, Odontotermes spp., and Microtermes spp. termites and were able to obtain seven viable Pseudoxylaria cultures (X802 [Microtermes sp.], Mn132, Mn153, X187, X3-2 [Macrotermes natalensis], and X167, X170LB [Odontotermes…

Continue Reading Adaptations of Pseudoxylaria towards a comb-associated lifestyle in fungus-farming termite colonies

Codeml giving different chi2 values when reducing the number of sequences

Codeml giving different chi2 values when reducing the number of sequences 0 Hi, I am using codeml for my positive selection analysis. I have 93 E. coli sequences for my analysis. I run the analysis using the 93 sequences against NSsites model 1 and 2 and the corresponding chi2 value…

Continue Reading Codeml giving different chi2 values when reducing the number of sequences