Szymon Nowakowski
YOU?
Author Swipe
View article: GRANA: An AI–based tool for accelerating chloroplast grana nanomorphology analysis using hybrid intelligence
GRANA: An AI–based tool for accelerating chloroplast grana nanomorphology analysis using hybrid intelligence Open
Grana are fundamental structural units of the intricate chloroplast membrane network. Investigating their nanomorphology is essential for understanding photosynthetic efficiency regulation. Here, we present GRANA (Graphical Recognition and…
View article: Knot or not? <scp>Identifying</scp> unknotted proteins in knotted families with sequence‐based <scp>Machine Learning</scp> model
Knot or not? <span>Identifying</span> unknotted proteins in knotted families with sequence‐based <span>Machine Learning</span> model Open
Knotted proteins, although scarce, are crucial structural components of certain protein families, and their roles continue to be a topic of intense research. Capitalizing on the vast collection of protein structure predictions offered by A…
View article: <scp>AlphaFold</scp> predicts novel human proteins with knots
<span>AlphaFold</span> predicts novel human proteins with knots Open
The fact that proteins can have their chain formed in a knot is known for almost 30 years. However, as they are not common, only a fraction of such proteins is available in the Protein Data Bank. It was not possible to assess their importa…
View article: Improving Group Lasso for high-dimensional categorical data
Improving Group Lasso for high-dimensional categorical data Open
Sparse modelling or model selection with categorical data is challenging even for a moderate number of variables, because one parameter is roughly needed to encode one category or level. The Group Lasso is a well known efficient algorithm …
View article: Group Lasso merger for sparse prediction with high-dimensional categorical data
Group Lasso merger for sparse prediction with high-dimensional categorical data Open
Sparse prediction with categorical data is challenging even for a moderate number of variables, because one parameter is roughly needed to encode one category or level. The Group Lasso is a well known efficient algorithm for selection cont…