###
Algorithms for reconstructing within-patient tumor histories to support precision oncology

#####

DKFZ (The German Cancer Research Center), March 15, 2024, Heidelberg
#### Precision oncology

#### Phylogenetic trees on tumor cells

### Problem

#### This result is not consistent across datasets — why?

#### Model-based approaches to genotype-phenotype data

$
f(x_1,\, \ldots,\, x_p) = \beta_0 + \sum_{i} x_i \beta_i
+ \sum_{i \le j} x_i x_j \beta_{i,j}
$
$
+ \sum_{i \le j \le k} x_i x_j x_k \beta_{i,j,k}
+ \ldots
$

#### "eQTL" simulations (work in progress)

- Multi-Layer Perceptron [ AI ]
- Logistic Regression [ :) ]
- Transformer-encoder [ AI ]
- LightGBM (Random Forests) [ AI? ]
- Differentiable Logic [ AI ]
- Support Vector Machines [ AI? ]

#### Why don't you just do AI?

What AI?
#### Thank you!