Past & Upcoming Talks

2019

The development of high throughput single-cell technologies now allows the investigation of the genome-wide diversity of transcription …

In the era of large-scale (huge sample size) and/or high-dimensional (numerous variables/features) data, the question of data …

2018

The high dimensionality of genomic data calls for the development of specific classification methodologies, especially to prevent …

The high dimensionality of genomic data calls for the development of specific classification methodologies, especially to prevent …

The development of high throughput single-cell sequencing technologies now allows the investigation of the population level diversity …

2017

The developpment of high throughput single-cell technologies now allows the investigation of the genome-wide diversity of …

The statistical analysis of Next-Generation Sequencing (NGS) data has raised many computational challenges regarding modeling and …

2016

For nearly 20 years, sequencing technologies have been on the rise, producing more and more data often characterized by their high …

For nearly 20 years, sequencing technologies have been on the rise, producing more and more data often characterized by their high …

2015

For a few years, data analysis has been struggling with statistical issues related to the “curse of high dimensionality”. …

For a few years, data analysis has been struggling with statistical issues related to the “curse of high dimensionality”. …

Since few years, data analysis struggles with statistical issues related to the “curse of high dimensionality”. For …

Since few years, data analysis struggles with statistical issues related to the “curse of high dimensionality”. For …

Since few years, data analysis struggles with statistical issues related to the curse of high dimensionality. In this context, meaning …

2014

La régression Partial Least Squares parcimonieuse (ou sparse PLS) permet de résoudre des problèmes de régression linéaire (d’une …

2013