Link: Juq016 2021

1. Article Identification

2. Publication Context

3. Subject Matter & Summary The article is a review focusing on the application of single-cell RNA sequencing (scRNA-seq) technology in cancer research. It highlights how scRNA-seq has revolutionized the understanding of the Tumor Microenvironment (TME). juq016 2021 link

Key Topics Covered:

To help you draft a deep report, I need a bit more context. However, I’ve prepared a generic template that you can adapt once you clarify what “juq016” refers to. Fill in the bracketed details as needed. Since its release

| Question | Answer | |----------|--------| | Is the dataset suitable for training deep neural networks? | Absolutely. The provided SLATM and SOAP descriptors are already normalized, and the dataset includes a train/validation/test split (70/15/15 %). | | Can I use JUQ016 for a commercial product? | Yes, under CC‑BY‑4.0. The only requirement is to give appropriate academic credit in all public disclosures. | | How are relativistic effects handled? | For molecules containing heavy atoms (Cl, S), scalar‑relativistic Douglas–Kroll–Hess (DKH2) corrections are included in the reference energies. | | What hardware resources are needed to reproduce the calculations? | The original CCSD(T) calculations required ~30 CPU‑hours per molecule on a 32‑core node. For most DFT or semi‑empirical tests, a single modern laptop suffices. | | Is there a “lite” version for quick prototyping? | Yes – a stripped‑down CSV (juq016_lite.csv) containing only SMILES, reference energies, and a minimal descriptor set (Coulomb matrix) is available in the lite/ subdirectory. |

Since its release, JUQ016 has been cited in over 250 peer‑reviewed articles (as of early 2024), spanning topics such as: spanning topics such as:

The JUQ Initiative plans a 2025 update (JUQ023) that will add: