OneTreck - Diagnostic & Therapeutic Science Hub

Visualization

Data Visualization in Data Science

A huge amount of data is generated every day (over 2.5 quintillion bytes of data produced every day according...

Exploratory Data Analysis

The first, and probably the most important, step of a data scientist is to explore and manipulate the data is about to...

Code

Deep Learning Framework

Deep learning is part of the family of artificial intelligence methods. It uses different layers to extract features...

Natural language Processing

Natural Language Processing (NLP) is a discipline between linguistics and computer science...

Machine Learning

Deep Learning Framework

Deep learning is part of the family of artificial intelligence methods. It uses different layers to extract features...

Stanford AI: ML with Graphs

These days, a growing number of university in the world are putting their courses online on an important variety of...

FIDLE Training

Since 2021, the CNRS institute in France is providing free trainings to acquire the basic skills and understanding of Deep Learning...

Natural language Processing

Natural Language Processing (NLP) is a discipline between linguistics and computer science...

Network

Drug Repositioning Strategies in the AI Era

Despite large R&D resources and expenses, drug discovery has become unbearable timely-wise and financially-wise...

Network-based drug repositioning

In biology, the concept of interaction network is heavily used. Based on this concept, Network-based drug...

Retrieve Mechanism of Action from literature

A Causal avatar is an interactive map that represents the disease progression steps, from 3 angles: time scale, context that includes...

Integration of experimental data to consolidate R&D avenues

The era of precision medicine had witnessed the ever-growing importance of the integration of real-world data. In that sense, experimental data...

Identification of drivers’ signature of disease

One could define disease signatures as prototypical patterns of entities, that interact together and associate with the disease...

Identify prospects to a Research Field

Exploratory avatars provide a global view of every biological process, signs, symptoms, proteins, cell types, tissues and organs that are associated...

Stanford AI: ML with Graphs

These days, a growing number of university in the world are putting their courses online on an important variety of...

Pathway Databases

With the phenomenal increase of data collection from genome sequencing projects and new experimental methods...

Knowledge Graph

A knowledge graph is a knowledge-based modeling data understood by a machine. It is intended to accumulate and convey...

Biological Network

A biological network is a method of representing systems as complex sets of binary interactions or...

Minerva Platform

Our knowledge on various molecular mechanisms is becoming increasingly more...

SmallMol

Drug Repositioning Strategies in the AI Era

Despite large R&D resources and expenses, drug discovery has become unbearable timely-wise and financially-wise...

Network-based drug repositioning

In biology, the concept of interaction network is heavily used. Based on this concept, Network-based drug...

Small Molecules Databases

In biology and pharmacology, a small molecule is an organic compound that could regulate a biological....

Avatar

Retrieve Mechanism of Action from literature

A Causal avatar is an interactive map that represents the disease progression steps, from 3 angles: time scale, context that includes...

Integration of experimental data to consolidate R&D avenues

The era of precision medicine had witnessed the ever-growing importance of the integration of real-world data. In that sense, experimental data...

Identification of drivers’ signature of disease

One could define disease signatures as prototypical patterns of entities, that interact together and associate with the disease...

Identify prospects to a Research Field

Exploratory avatars provide a global view of every biological process, signs, symptoms, proteins, cell types, tissues and organs that are associated...

Single Cell

Integration of experimental data to consolidate R&D avenues

The era of precision medicine had witnessed the ever-growing importance of the integration of real-world data. In that sense, experimental data...

Probabilistic Models for Single-Cell Data

Methods for analyzing single-cell data perform a core set of computational tasks, ranking from dimensionality reduction...

Single-Cell Data Analysis

With the development of high-throughput sequencing technology, emerging single-cell RNA-seq has enabled...

Database

Gene Ontology (GO)

Gene Ontology mission is to help better understand genes, non-coding RNAs and proteins functions in many different...

Pathway Databases

With the phenomenal increase of data collection from genome sequencing projects and new experimental methods...

Small Molecules Databases

In biology and pharmacology, a small molecule is an organic compound that could regulate a biological....

MeSH

The Medical Subject Headings or MeSH is a vocabulary system of biomedical metadata in English...

MongoDB

MongoDB is a document-oriented database management system. It is part of the NoSQL database family...

PubMed

PubMed is a free search engine that give access to the MEDLINE database, itself composed...

Ontology

Gene Ontology (GO)

Gene Ontology mission is to help better understand genes, non-coding RNAs and proteins functions in many different...

Symptoms, Syndromes & Pathologies. What’s the difference?

In the biomedical literature a lot of terms are commonly used to describe a variety of...

MeSH

The Medical Subject Headings or MeSH is a vocabulary system of biomedical metadata in English...

Training

Stanford AI: ML with Graphs

These days, a growing number of university in the world are putting their courses online on an important variety of...

FIDLE Training

Since 2021, the CNRS institute in France is providing free trainings to acquire the basic skills and understanding of Deep Learning...

Digital Twins & RWD

RWD for ACCELERATING THERAPEUTIC LEAD DEVELOPMENT 2024

For biotechs integrating Real-World Data (RWD) represents a powerful lever to optimize research and development.

THE EMERGENCE OF DIGITAL TWINS

The concept of digital twins appeared in the early 2000s, initially in engineering and aerospace, to optimize the maintenance of complex industrial equipment.