This dataset contains the complete annotated differential-expression results used in the study “Transcriptomic correlates of dispersal-related behavioural profiles in Salamandra salamandra larvae across a mitochondrial contact zone”.Differential expression was analysed at the Corset-cluster level using RNA-seq data from ten Salamandra salamandra larvae classified by mitochondrial lineage and behavioural profile. The file includes the results for both contrasts analysed in the study: behavioural profile (fast vs slow) and mitochondrial lineage (northern vs southern).For each Corset cluster, the dataset reports differential-expression statistics together with available functional annotation, including protein descriptions and functional-category assignments where available. Both shrunken and unshrunken log2 fold-change estimates are included.The behavioural contrast identified 403 differentially expressed clusters, whereas the unfiltered mitochondrial-lineage contrast identified 589. Clusters of mitochondrial origin were subsequently excluded from biological interpretation of the lineage contrast because sequence divergence from the single de novo reference may affect mapping efficiency. After this exclusion, 374 lineage-associated clusters remained for biological interpretation.This dataset corresponds to Supplementary Datafile 1 of the associated manuscript.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.