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tensor-decomposition-in-python

A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python

tensor-gmm

Implementation of learning a Gaussian mixture model using tensor decomposition.

tensor_decomp

tensorly-notebooks

Tensor methods in Python with TensorLy

tests-as-linear

Common statistical tests are linear models (or: how to teach stats)

texfba

Integration of gene expression data with TFA constraints

tfa

the-nlp-pandect

A comprehensive reference for all topics related to Natural Language Processing

the-open-book

toolbox

Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)

tools-to-design-or-visualize-architecture-of-neural-network

Tools to Design or Visualize Architecture of Neural Network

torch_integrated_cell

training-collection

Collection of bioinformatics training materials

treem

neuron morphology processing tools

truncation_and_motif_based_analysis

Truncation and motif based Pan-cancer analysis highlights novel tumor suppressing kinases. Summary: A unique computational pan-cancer analysis pinpoints novel tumor suppressing kinases, and highlights the power of functional genomics by defining the JNK pathway as tumor suppressive in gastric cancer. Andrew M. Hudson, Natalie L. Stephenson, Cynthia Li, Eleanor Trotter, Adam J. Fletcher, Gitta Katona, Patrycja Bieniasz-Krzywiec, Matthew Howell, Chris Wirth, Simon Furney, Crispin J. Miller, John Brognard

tumorcomparer

tutorials

Teaching materials for cobrapy, cameo, escher and DD-DeCaF

tutorials-1

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

txburst

Transcriptional burst kinetics inference and analysis described in the article "Genomic encoding of transcriptional burst kinetics" by Anton J. M. Larsson, Per Johnsson, Michael Hagemann-Jensen, Leonard Hartmanis, Omid R. Faridani, Björn Reinius, Åsa Segerstolpe, Chloe M. Rivera, Bing Ren and Rickard Sandberg

tybalt

Training and evaluating a variational autoencoder for pan-cancer gene expression data

umapdataintegration

Graph based data integration with UMAP

umis

Tools for processing UMI RNA-tag data

unsupervised-learning

This repo contains unsupervised models including the Latent Dirichlet Allocation (LDA) model applied to a corpus of research papers and a clustering analysis applied to customer segmentation.

videos

The official distribution of olcConsoleGameEngine, a tool used in javidx9's YouTube videos and projects

visualdl

A platform to visualize the deep learning process.

vmls-companions

*This is a companion to the companion for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

vplanet

The Virtual Planet Simulator

vscreenml

This repository contains the implementation of a novel machine learning classifier trained on the Dataset of Congruent Inhibitors and Decoys (D-COID))

website-publications-and-data-science-portfolio

This is a list of my published works. For more details check my Google Scholar profile.

workflow_of_chipseq

R code in workflow of chip-seq analysis