Journal Club Archive 2021

View other years: [2020][2021][2022][2023][2024][2025][2026]

This is the schedule for the regular group meeting at the Spang Lab.

End of Christmas Holidays

9:30

Seminar Algorithmische Bioinformatik (Master)

Biological interpretation of deep neural network for phenotype prediction based on gene expression

Armin Schenk

10:15

Seminar Algorithmische Bioinformatik (Master)

RNA inter-nucleotide 3D closeness prediction by deep residual neural networks

Maria Attenberger

9:30

Seminar Algorithmische Bioinformatik (Master)

DeepHE: Accurately predicting human essential genes based on deep learning

Christian Amesöder

9:30

Seminar Algorithmische Bioinformatik (Master)

A novel sequence alignment algorithm based on deep learning of the protein folding code

Tim Mirus

9:30

Some thoughts on data management

(and two new tools that can help)

Jakob Simeth

9:30

Professional Specialisation (w.r.t. Master Thesis)

Predicting Gene Expression using Whole Slide Imaging

Julian Lorenz

9:30

Professional Specialisation (w.r.t. Master Thesis)

NMR Spectral Deconvolution

Martina Häckl

9:30

Forecasting brain activity by using deep spatial-temporal graph modeling (Master Thesis)

Alina Schüller

Microarray Course

9:30

Bachelor thesis presentation

Unsupervised tissue analysis tools for Spatial Transcriptomics data

Tim Mirus

9:30

Bulk Data Deconvolution

Zahra Nozari

9:30

Public Relations for the Statistical Bioinformatics Group

Rainer Spang

Easter Break

9:30

Introduction to container: What are they and how do i use them in kubernetes

Michael Huttner

9:30

Information Geometry

Rudolf Schill

9:30

Deconvolution Algorithm Benchmarking - odds and ends in DAB

Tim Mirus

9:30

Mixed Graphical Models as Outlier Detection and Correction Tools

Lena Buck

Cancelled due to computer science professorship presentation talks

9:30

Deconvoluting sorted Covid RNA-seq bulks

Marian Schön

9:30

Variability in Cell Cloud Classification

Gunther Glehr

9:30

An adaptive approach to Monte Carlo Integration using Importance Sampling and Neural Networks

Daniel Schönberger

9:30

Cause2e - a Python Package for End-to-End Causal Analysis

Daniel Grünbaum

9:30

Seminar Statistische Bioinformatik (Master)

From "Interpretable Machine Learning" by Christoph Molnar, Chapter PDP & ICE (pages 144-157)

Armin Schenk

10:15

Seminar Statistische Bioinformatik (Master)

From "Interpretable Machine Learning" by Christoph Molnar, Chapter ALE (pages 158-180)

Christian Amesöder

9:30

Seminar Statistische Bioinformatik (Master)

From "Interpretable Machine Learning" by Christoph Molnar, Chapter Feature Interaction [& Feature Importance] (pages 181-199)

Tim Mirus

9:30

Seminar Statistische Bioinformatik (Master)

From "Interpretable Machine Learning" by Christoph Molnar, Chapter Shapley Values (pages 218-232)

Matthias Meier

9:30

High-Content Image Analysis

Durdam Das

9:30

Master thesis presentation

Combined CNV- and RNA-Seq-analyses of circulating tumor cells from blood of pancreatic carcinoma patients

Sibylle Wilfling

9:30

Master thesis presentation

Predicting Gene Expression using Whole Slide Imaging

Julian Lorenz

9:30

Master thesis presentation

NMR Spectral Deconvolution

Martina Häckl

9:30

XAI for the molecular subclassification of DLBCL

Tobias Schmidt

Summer Break start

Summer Break end

9:30

Professional Specialisation (w.r.t. Master Thesis)

Genotype-based Deconvolution of Bulk RNA-Seq Data

Maria Attenberger

9:30

Professional Specialisation (w.r.t. Master Thesis)

Influence of Features on Model Signature and the dependent Variable

Marcel Mück

Cancelled

9:30

Professional Specialisation (w.r.t. Master Thesis)

Kubernetes Job Runner

Shivam Goyal

9:30

Methods and applications of Bayesian networks in cancer genomics

Fritz Bayer (PhD-student from ETHZ)

9:30

Talk on Bachelor thesis

Animated and Interactive Lecture on LASSO Regression

Johannes Attenkofer

9:30

Basics in proteomics measurement

Katharina Limm

9:30

Public Relations for the Statistical Bioinformatics Group

Rainer Spang

9:30

Topological Data Analysis: The Mapper Algorithm

Linda Hu

9:30

The complete telomer-to-telomer sequence of a human genome

Claudio Lottaz

9:30

Disentangling gene expression survival signatures with single cell data

Jakob Simeth

9:30

IT-Infrastructure@SpangLab

Christian Kohler

9:30

Estimation of reference profiles

Zahra Nozari

9:30

Advanced kubernetes: How high availability works

Michael Huttner

9:30

Differentiated uniformization: A new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models

Rudolf Schill

9:30

Validating Causal Models

Daniel Grünbaum

Start of Christmas Holidays