Merge branch 'master' of github.com:neurostuff/compose-docs

blog/2023-11-28-tutorials.md

@@ -0,0 +1,26 @@
+---
+slug: tutorials-updates
+title: New tutorials and updates
+authors: alejandro
+tags: [hello, neurosynth]
+---
+Dear Neurosynth Community,
+
+I'm excited to announce important updates to *Neurosynth Compose*: A free and open platform for neuroimaging meta-analysis.
+
+First, we have added some easy to follow [tutorials](https://neurostuff.github.io/compose-docs/tutorial) to our documentation, making it easy to become familiar with our platform. 
+
+The tutorials cover two main uses cases we support: Manual and Automated Meta-analyses. Our platform make gold-standard *manual* meta-analyses much easier, by leveraging pre-extracted imaging data
+and streamline user interfaces. Automated meta-analyses are ideal for generating exploratory results rapidly, enabling meta-analysis as part of routine scientific practice.  
+
+We've also made many small but important updates to our platform, including significant performance updates and improvements to the user interface. 
+*Neurosynth Compose* is now more intuitive and easier to use. Give it a try by following our [manual meta-analysis tutorial](https://neurostuff.github.io/compose-docs/tutorial/manual). 
+
+We also have some exciting new features in the pipeline that we'll release in early 2024 including:
+* Image-based Meta-Analysis (IBMA). Soon, you will be able to use NeuroVault data as inputs for IBMA-- a more powerful and sensitive alternative to Coordinate Based Meta-Analysis.
+* Advanced data extraction using Large Language Models (GPT). Early protypes to extract detailed information (such as participant demographics) from neuroimaging articles using LLMs
+have shown promise. We are working on incorporating these workflows into *Neurosynth Compose*, making it even easier to identify relevant studies for meta-analysis.
+
+We look forward to your feedback!
+
+-Alejandro

docs/tutorial/_category.json

@@ -0,0 +1,4 @@
+{
+  "label": "Tutorials",
+  "position": 2
+}

docs/tutorial/manual.md

@@ -13,10 +13,8 @@ This is a condensed adaptation of a course taught at OHBM 2023.
 See the [course materials](https://neurostuff.github.io/meta-analysis-book/ohbm_course_intro.html) for a complete overview.
 :::
 
-In this tutorial, we demonstrate how to create a custom, manual meta-analysis. 
-
 *Neurosynth Compose* provides a streamlined workflow to facilitate study selection and 
-data extraction. You can then easily specify a meta-analysis and execute it in the cloud, 
+data extraction. You can then easily specify a high-quality manual meta-analysis and execute it in the cloud, 
 rapidly generating results that you can inspect and share.
 
 :::tip
@@ -316,4 +314,4 @@ Congratulations! You now have a Meta-Analysis specification that is ready to run
 You can execute your Meta-Analysis for free in the cloud on Google Colab by copying the unique *meta-analysis id*
 and pasting it into our Google Colab notebook.
 
-![Meta-analysis run](/tutorial/ma_run.png)
+![Meta-analysis run](/tutorial/ma_run.png)