GitHub

sciNMF: Single-Cell Integration by Non-Negative Matrix Factorization

sciNMF is an R package designed for exploring the heterogeneity of cellular transcriptional states across individuals using single-cell RNA-seq data. This package is developed by HuangLab at the ...
GitHub

Tensor Extraction of Latent Features (T-ELF)

T-ELF is one of the machine learning software packages developed as part of the R&D 100 winning SmartTensors AI project at Los Alamos National Laboratory (LANL). T-ELF presents an array of ...
IEEE

Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview

Abstract: Substantial progress has been made recently on developing provably accurate and efficient algorithms for low-rank matrix factorization via nonconvex optimization. While conventional wisdom ...
Searchenginejournal.com

How To Build A Recommender System With TF-IDF And NMF (Python)

Topic clusters and recommender systems can help SEO experts to build a scalable internal linking architecture. And as we know, internal linking can impact both user experience and search rankings.
Frontiers

An Introduction to Machine Learning Approaches for Biomedical Research

Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...
PNAS

Integration and transfer learning of single-cell transcriptomes via cFIT

Overcorrection has been one of the main concerns in employing various data integration methods, which risk removing the biological distinction and are harmful for cell-type identification. Here, we ...
Frontiers

A Literature Review of Gene Function Prediction by Modeling Gene Ontology

Annotating the functional properties of gene products, i.e., RNAs and proteins, is a fundamental task in biology. The Gene Ontology database (GO) was developed to systematically describe the ...