FAiS (Functional Analysis in silico)

RNA secondary structure prediction by conducting multi-class classifications Generating valid predictions of RNA secondary structures is challenging. Several deep learning methods have been developed for predicting RNA secondar…

New publication:
RNA secondary structure prediction by conducting multi-class classifications
www.sciencedirect.com/science/arti...

08.04.2025 05:58 — 👍 0    🔁 0    💬 0    📌 0

Deep-learning framework advances tissue analysis in spatial transcriptomics Spatial transcriptomics techniques, which map gene activity in intact tissues, often face challenges in accurately identifying distinct tissue regions. Now, researchers from Japan have developed STAIG...

www.eurekalert.org/news-release...

11.03.2025 00:20 — 👍 0    🔁 0    💬 0    📌 0

STAIG: Spatial transcriptomics analysis via image-aided graph contrastive learning for domain exploration and alignment-free integration - Nature Communications Spatial transcriptomics maps gene expression in tissues to study cellular interactions. Here, authors introduce STAIG, a deep-learning model that integrates multimodal data without pre-alignment, remo...

New publication
www.nature.com/articles/s41...

28.01.2025 00:43 — 👍 2    🔁 1    💬 0    📌 1

Prof. Kenta Nakai has been honored as the inaugural recipient of the APBioNET Research Innovation Award (2024/10/28).

02.12.2024 00:55 — 👍 0    🔁 0    💬 0    📌 0

Frontiers | Computational analysis of the functional impact of MHC-II-expressing triple-negative breast cancer

New Publication by Cui Yang et al.
www.frontiersin.org/journals/imm...
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28.11.2024 04:07 — 👍 0    🔁 0    💬 0    📌 0