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Claude agent skill to infer experimental designs from .h5ad’s
Anthropic recently launched Claude for Life Sciences, which in practical terms means a marketplace of plugins, MCP’s, and agent skills focused on tasks…
Nov 14
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Valentine Svensson
October 2025
Training SCVI — Differential expression over epochs
With a trained SCVI model you can perform differential expression analysis to learn which genes are increased and decreased in gene expression as cells…
Oct 14
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Valentine Svensson
Causal temperatures
Time is special.
Oct 5
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Valentine Svensson
September 2025
Negative binomial regression and inference using a pre-trained transformer
I wanted to speed up negative binomial regression with a novel transformer model, but it actually turns out that a classical method of moments is a…
Sep 23
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Valentine Svensson
July 2025
H5AD files in GEO
I’m working on a project where I want to use a lot of well-annotated scRNA-seq data.
Jul 25
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Valentine Svensson
A pre-trained t-test transformer
Generally, neural networks are nonlinear function approximators.
Jul 10
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Valentine Svensson
Slot machine strategy
In the game Blue Prince , every run of the game have you fill a mansion with different rooms to wander through.
Jul 6
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Valentine Svensson
June 2025
SCVI with variational batch encoding
For last couple of months I have been exploring batch integration strategies with SCVI and MRVI, and the possibility to optionally disable integration…
Jun 21
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Valentine Svensson
May 2025
Evaluating automatic cell number extraction from single cell papers
For the past ~7 years I have been tracking the scale of scRNA-seq experiments in a spreadsheet which we published as the ‘Single Cell Studies Database…
May 26
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Valentine Svensson
Merging SCVI models
There are massive amounts of single-cell RNA-seq data, and data is still being produced.
May 21
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Valentine Svensson
April 2025
An attempt at speeding up TSNE using Apple MLX
I’m often encountering situations where I want to do a quick 2D visualization of some data.
Apr 1
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Valentine Svensson
March 2025
SCVI — Inference-based optional integration
The batch-integrating SCVI model is a conditional variational autoencoder (cVAE, Sohn et al.
Mar 28
•
Valentine Svensson
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