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ChatCell by Xinle Deng
Last updated on Juni 06, 2024 Engagement: Over 200 ConversationsHelp to solve single-cell tasks including pseudo-cell generation, cell type annotation, drug sensitivity prediction with natural language. https://github.com/zjunlp/ChatCell 👈 Code 🛠️ https://huggingface.co/zjunlp/chatcell-small 👈 Model 🧫
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Xinle Deng View Author GPTs
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Evaluate a cancer cell's response to Erlotinib (resistant or sensitive), based on the cell's 100 most actively expressed genes in descending order MT-RNR2 MT-CO3 MT-CO1 RPL13 RPLP1 FTH1 GAPDH RPS8 PABPC1 FTL ANXA2 NCL RPS12 PTMA RPS14 CAV1 RPS3 RPS4X MT-CO2 RPL37 KRT7 RPS2 TMSB4X HSP90AA1 GSTP1 MT-ND4 MT-ATP6 S100A6 NAP1L1 RPL31 HSP90AB1 B2M RPL19 PPIA NUCKS1 MT-ND5 RPS27A TPM1 RPL18 ATP5G3 RPLP0 RPL8 TXN GNAS PSMA7 RPL30 MYL6 SLC25A5 RAD21 RTN4 RPL37A HSPD1 LRRFIP1 DEK MT-ND1 RPL11 TPT1 TMSB10 RPS24 SSRP1 LUC7L3 RPS20 KRT18 RPS16 RPL5 RPL35 RPS21 HNRNPC RPLP2 NACA GNB2L1 LGALS1 UQCRH FAU CHCHD2 RPL23 LDHB UBA52 HSP90B1 SEC62 RPL6 DSTN RPL27A RPL23A RPL22L1 KTN1 RPL14 CALM2 PRDX1 ADIPOR2 ZFAS1 HIST1H4C UQCRQ CALU PTTG1 EIF1 RPL26 RPL10A RAN ARPC2.
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Distinguish between resistant and sensitive cancer cells in response to Cisplatin, using the data from the 100 most expressed genes in descending order MYL12B FTL MYL12A HIST1H4C RPL23 GSTP1 RPS3 ENO1 RPLP1 TXN ANXA2 PPP1CB B2M RPLP0 HSPA8 H2AFZ TPI1 ANXA1 RPL7 GAPDH CHP1 LDHA RPL3 S100A11 PRDX1 CALM2 CAPZA1 SLC25A5 RPS27 YWHAZ GNB2L1 PTBP3 RPS6 MOB1A S100A2 ACTG1 BROX SAT1 RPL35A CA2 PSMB4 RPL8 TBL1XR1 RPS18 HNRNPH1 RPL27 RPS14 RPS11 ANP32E RPL19 C6ORF62 RPL9 EEF1A1 RPL5 COLGALT1 NPM1 CCT6A RQCD1 CACUL1 RPL4 HSP90AA1 MALAT1 ALDOA PSMA4 SEC61G RPL38 PSMB5 FABP5 HSP90AB1 RPL35 CHCHD2 EIF3E COX4I1 RPL21 PAFAH1B2 PTMA TMED4 PSMB3 H3F3B AGO1 DYNLL1 ATP5A1 LDHB COX7B ACTB RPS27A PSME2 ELMSAN1 NDUFA1 HMGB2 PSMB6 TMSB10 SET RPL12 RPL37A RPS13 EIF1 ATP5G1 RPS3A TOB1.
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Can you do drug sensitivity prediction based on top 100 genes?
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Ascertain whether a cancer cell is resistant or sensitive to Cisplatin by analyzing the top 100 genes expressed in descending order MYL12B GSTP1 FTL IFI27 ANXA1 CA2 IFITM3 RPS3 RPLP1 MYL12A FABP5 S100A2 S100A11 B2M RPLP0 ACTB GLTP YWHAZ ALDOA LY6D LDHA KRT14 TXN RPL23 FGFBP1 TOB1 SPRR1A ANXA2 CHCHD2 RPL7 CTTN RPS11 RPL8 RPS6 CAPZA1 RAB38 GPX2 PSMB4 LGALSL TPI1 CHP1 RPS14 PRDX5 KRT6A RPS18 CRABP2 PPP1CB RPS27 EEF1A1 GAPDH PKM RPL27 SEC61G SERPINB5 KLK8 RPL35A PRDX1 SLC25A5 RPL19 BROX MALAT1 RPL3 RPL35 RPL41 ACTG1 RPL4 GNB2L1 S100A16 COX7B CSTB HSPA8 SPRR1B RPL12 COLGALT1 ENO1 RPL36 RPS13 ATP5A1 PSMB3 ISG15 PTMA S100A6 RPS5 RPL11 PSMB7 TRMT112 MOB1A PSME2 KRT6B BST2 CCT6A MSMO1 RPL21 RPL38 RPLP2 PTBP3 COX4I1 RPL18A TMSB4X PSMB6.
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Features and Functions
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Cell API
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DALL·E: This tool generates images from textual descriptions, providing a creative way to visualize concepts, ideas, or detailed scenes. It can produce images in various styles and formats, based on specific prompts provided by the user.
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Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.
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Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
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ChatCell
Rate: 2,5 ★
Help to solve single-cell tasks including pseudo-cell generation, cell type annotation, drug sensitivity prediction with natural language. https://github.com/zjunlp/ChatCell 👈 Code 🛠️ https://huggingface.co/zjunlp/chatcell-small 👈 Model 🧫
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