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alpsnmr

Automated spectraL Processing System for NMR

bedops

:microscope: BEDOPS: high-performance genomic feature operations

behaviormetric

こちらは2021秋の行動計量セミナーの実習用ホームページです

cca

This is R script used in "Suppression of intrahepatic cholangiocarcinoma cell growth by SKI via upregulation of the CDK inhibitor p21: A study initiated from clinical samples"

denv

A part of R codes used for "Principal Components Analysis Based Unsupervised Feature Extraction Applied to Gene Expression Analysis of Blood from Dengue Haemorrhagic Fever Patients" https://www.nature.com/articles/srep44016

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

latlrr

Latent Low Rank Representation in R

mirna_blood

Sample R code used in "Principal component analysis based feature extraction approach to identify circulating microRNA biomarkers" https://doi.org/10.1371/journal.pone.0066714

movis

MOVIS: A Multi-Omics Software Solution for Multi-modal Time-Series Clustering, Embedding, and Visualizing Tasks, by Aleksandar Anžel, Dominik Heider, and Georges Hattab

multir

This is a R code to perform the analysis in our paper Y-h. Taguchi & Turki Turki Novel feature selection via kernel tensor decomposition for improved multi-omics data analysis https://doi.org/10.1186/s12920-022-01181-4

pcaufeopsd

This is a sample souce code to perform analysis in the paper "Principal component analysis- and tensor decomposition- based unsupervised feature extraction to select more reasonable differentially methylated cytosines: Optimization of standard deviation versus state-of-art methods" https://doi.org/10.1101/2022.04.02.486807

pcaufeopsdhm

This is a sample souce code to perform analysis in the paper "Tensor decomposition and principal component analysis-based unsupervised feature extraction outperforms state-of-the-art methods when applied to histone modification profiles "

peoj

This is a sample R code used in the following study "Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools"

sc

Supporting information of the paper "Principal component analysis based unsupervised feature extraction applied to single cell gene expression analysis" https://www.biorxiv.org/content/early/2018/05/02/312892

scatac-seq

scmultir

This is a R source code by which we can perform the analysis described in the following preprint Tensor-decomposition–based unsupervised feature extraction in single-cell multiomics data analysis Y-h. Taguchi, Turki Turki https://doi.org/10.3390/genes12091442

social-insects

Sample R codes for gene selection used in the paper "Tensor decomposition-based and principal-component-analysis-based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social insects with multiple castes" https://doi.org/10.1186/s12859-018-2068-7

tagtag.github.io

td-multiomics

Tensor decomposition based unsupervised feature extraction was applied to multiomics data which was used for performance evaluation of DAIBLO algorithm implemented in mixOmics package

td_based_fe

Sample R code used for "Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases" https://doi.org/10.1186/s12920-017-0302-1

tdbasedufe

This is a R package that intends to perform all the features possible by tensor decomposition based unsupervised feature extraction

tdbasedufeadv

This is an advanced package for TDbasedUFE

tdpcabasedfe

これは大学院講義非線形物理学特論のサポートページです。

xlsx2csv

Convert xslx to csv, it is fast, and works for huge xlsx files