56,966 blogs · [ { "id": "01a087b4-27f3-73d7-9e5f-9f5720b74c60", "title": "Mac native TSNE", "url": "https://www.nxn.se/p/mac-native-tsne", "published_at": "2026-08-29T07:57:25+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f572193f79e", "title": "Tissue homing and gene expression", "url": "https://www.nxn.se/p/tissue-homing-and-gene-expression", "published_at": "2026-08-04T04:43:11+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f572212d99c", "title": "Who writes papers?", "url": "https://www.nxn.se/p/who-writes-papers", "published_at": "2026-07-14T05:51:33+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f57223db1e4", "title": "GEO data unlocks vs paper publication", "url": "https://www.nxn.se/p/geo-data-unlocks-vs-paper-publication", "published_at": "2026-07-01T07:27:33+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f572326b74a", "title": "An update on automatic cell number extraction from single-cell papers", "url": "https://www.nxn.se/p/an-update-on-automatic-cell-number", "published_at": "2026-06-11T04:52:49+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f57233a27e4", "title": "10x Flex preserves biological processes", "url": "https://www.nxn.se/p/10x-flex-preserves-biological-processes", "published_at": "2026-05-10T05:48:04+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f572426e04f", "title": "Creating a Tahoe sculpture", "url": "https://www.nxn.se/p/creating-a-tahoe-sculpture", "published_at": "2026-05-04T05:42:06+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f57251b88bd", "title": "Improving SCVI for low-count cells through self-supervised augmentation", "url": "https://www.nxn.se/p/improving-scvi-for-low-count-cells", "published_at": "2026-03-02T05:54:35+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f5725da49d2", "title": "Serverless GPUs for fast TSNE visualization", "url": "https://www.nxn.se/p/serverless-gpus-for-fast-tsne-visualization", "published_at": "2026-01-21T07:16:25+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f572656f35e", "title": "Training SCVI - Metal acceleration", "url": "https://www.nxn.se/p/training-scvi-metal-acceleration", "published_at": "2026-01-15T08:09:10+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f5726d82cdf", "title": "SCVI - Estimating null expression levels", "url": "https://www.nxn.se/p/scvi-estimating-null-expression-levels", "published_at": "2026-01-06T07:54:15+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f5727177bf1", "title": "Claude agent skill to infer experimental designs from .h5ad’s", "url": "https://www.nxn.se/p/claude-agent-skill-to-infer-experimental", "published_at": "2025-11-14T05:56:37+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f5727eee9d8", "title": "Training SCVI — Differential expression over epochs", "url": "https://www.nxn.se/p/training-scvi-differential-expression", "published_at": "2025-10-14T06:13:14+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f57281f5c1a", "title": "Causal temperatures", "url": "https://www.nxn.se/p/causal-temperatures", "published_at": "2025-10-05T08:29:39+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f57290835a5", "title": "Negative binomial regression and inference using a pre-trained transformer", "url": "https://www.nxn.se/p/negative-binomial-regression-and", "published_at": "2025-09-23T05:53:20+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f57290c9952", "title": "H5AD files in GEO", "url": "https://www.nxn.se/p/h5ad-files-in-geo", "published_at": "2025-07-25T04:26:03+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f572911f7d2", "title": "A pre-trained t-test transformer", "url": "https://www.nxn.se/p/a-pre-trained-t-test-transformer", "published_at": "2025-07-10T04:03:40+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f5729a2daaa", "title": "Slot machine strategy", "url": "https://www.nxn.se/p/slot-machine-strategy", "published_at": "2025-07-06T04:31:00+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f5729e8a5ec", "title": "SCVI with variational batch encoding", "url": "https://www.nxn.se/p/scvi-with-variational-batch-encoding", "published_at": "2025-06-21T22:53:31+00:00" }, { "id": "01a087b4-27f3-73d7-9e5f-9f572ad216f9", "title": "Evaluating automatic cell number extraction from single cell papers", "url": "https://www.nxn.se/p/evaluating-automatic-cell-number", "published_at": "2025-05-26T06:31:45+00:00" } ] posts Claim your blog

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2026

Mac native TSNE original ↗

29 Aug 2026

Tissue homing and gene expression original ↗

4 Aug 2026

Who writes papers?original ↗

14 Jul 2026

GEO data unlocks vs paper publication original ↗

1 Jul 2026

An update on automatic cell number extraction from single-cell papers original ↗

11 Jun 2026

10x Flex preserves biological processes original ↗

10 May 2026

Creating a Tahoe sculpture original ↗

4 May 2026

Improving SCVI for low-count cells through self-supervised augmentation original ↗

2 Mar 2026

Serverless GPUs for fast TSNE visualization original ↗

21 Jan 2026

Training SCVI - Metal acceleration original ↗

15 Jan 2026

SCVI - Estimating null expression levels original ↗

6 Jan 2026

2025

Claude agent skill to infer experimental designs from .h5ad’s original ↗

14 Nov 2025

Training SCVI — Differential expression over epochs original ↗

14 Oct 2025

Causal temperatures original ↗

5 Oct 2025

Negative binomial regression and inference using a pre-trained transformer original ↗

23 Sept 2025

H5AD files in GEO original ↗

25 Jul 2025

A pre-trained t-test transformer original ↗

10 Jul 2025

Slot machine strategy original ↗

6 Jul 2025

SCVI with variational batch encoding original ↗

21 Jun 2025

Evaluating automatic cell number extraction from single cell papers original ↗

26 May 2025