We, therefore, propose Text-Guided Image Clustering, i.e., generating text using image captioning and visual question-answering (VQA) models and subsequently clustering the generated text. Further, we introduce
This issue is likely due to inherent flaws in the “RoIAttn” approach, which involves two additional memory units for clustering operations. In an open environment, where unknown-class objects lack labels, this process is prone to noise interference. In contrast, the RRM module enhances ...
image perspective README.md requirements.txt Repository files navigation README CLUSTERLLM: Large Language Models as a Guide for Text Clustering This is the official PyTorch implementation of paperCLUSTERLLM: Large Language Models as a Guide for Text Clustering (EMNLP2023). ...
Right panel shows the hierarchical clustering dendrogram and the optimal clustering threshold. Cell lines belonging to the same cluster are in the same color, and clusters consisting of only one cell line are shown in light grey Full size image...
Column clustering is performed using 78 genes to find the most similar subjects across different pathologies. Genes are colored with red (over) and blue (under) Full size image To characterize somatic copy number alterations, we evaluated large-scale and focal copy number alterations in the cohort...
Full size image Discussion These results indicate that clusters using gene signatures have biological significance, and that many of these gene associations are not found using clustering on the original microarray expression datasets. Each set of landmark genes carries the potential of defining its own...
Full size image Metatranscriptomic and metabolic reconstruction of anaerobic community The 197 MAGs showed good representativeness of the active populations in the anaerobic community, with 81.4% ± 1.9% of the metatranscriptomic reads in each experimental condition mapping to them (Supplementary Fig. 2,...
Interestingly, deconvolving the pancreatic cancer PAAD dataset using mouse reference dataset also conferred high-quality patient clustering comparable to that of human dataset (Additional file 1: Fig. S20b). Notably, the PAAD “other subtype” was predicted to originate from alpha cells (an ...
The mSD approach consists of the following two steps: (1) transcription factor activity estimation by motif-guided clustering and (2) regulation strength estimation by sparse decomposition. Full size image Latent variable model We adopt a latent variable model that has been used in Liao et al. ...
Full size image To make the reported gene rankings more robust to the effect of noise in the data, we used a bootstrap sampling technique (illustrated in Fig.1b; also see “Methods”), whereby prioritization is performed repeatedly on randomly selected subsets of samples and the resulting rank...