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> Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumor-infiltra…
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### Feature Name
Llava-next -34B
### Feature Description
Research about Llava-next -34B
### Research Findings
### LLaVA-NeXT-34B
**LLaVA-NeXT-34B** is a model in the LLaVA-NeXT series, which e…
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## What's the problem?
Wordplay has no audio output, such as sounds, noise, music, or other audio media, other than rudimentary screen reader support via browsers and operating systems. This is a m…
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I'm working on this and would like to incorporate some feedback about decision-making from one of the end-of-course surveys. Here's what it said:
_I think it would be incredibly useful if you could…
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Hi,
I am not sure that I am specifying the random effects the right way in Hmsc and I´d appreciate your advice regarding this. My dataset consists of something like 300 sampling units (for bird sa…
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Can we just use text as input to enforce the joint learning of image appearance, spatial relationship, and geometry in a unified network?
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### Task motivation
Spatial decomposition (also often referred to as Spatial deconvolution) is applicable to spatial transcriptomics data where the transcription profile of each capture location (spo…
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Hi,
Thanks for developing the sjSDM and making it possible to use it in R!
I have a small fungal dataset (with ~500 OTUs and 40 samples (approx. 10 samples from 4 different sites) and some environ…
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Hi,
I am a fan of cell2location!
It was said that " Although the emerging SRT technologies, such as MERFISH, Slide-seq and Stereo-seq, had achieved cell-level or subcellular spatial resolution, so…
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In section 3.2, "As we can not exactly know the spatial locations of test nodes, Wsample is also randomly generated to make the learning samples generalizable to more cases." was given.
However, I fo…