ASimulatoR
ASimulatoR is an R package for the simulation of RNA-seq reads with alternative splicing events. It is freely available on GitHub.
Fastlogranktest
Fastlogranktest is a software package providing wicked-fast implementations of the logrank test in C++, R, and Python. The Python package and R package provide wrappers around the C++ implementation. Both offer a fast alternative to the standard logrank-test implementations in the liflines.statistics and survival packages, respectively. All you have to do is install the package
NEASE
NEASE (Network-based Enrichment method for Alternative Splicing Events) is a Python package for the functional enrichment of alternative splicing events. The tool is available on GitHub.
Spycone
Spycone is a python package for a splicing-aware analysis of time course data. It is available on Github.
Scellnetor
Scellnetor is a novel scRNA-seq clustering tool. It allows the analysis of pseudo time-courses in single-cell sequencing data via a network-constrained clustering algorithm. Scellnetor is available as interactive online application at the Scellnetor website.
BiCoN
BiCoN is a powerful new systems medicine tool to stratify patients while elucidating the responsible disease mechanisms. BiCoN is a network-constrained biclustering approach which restricts biclusters to functionally related genes connected in molecular interaction networks and maximizes the expression difference between two subgroups of patients. A package for network-constrained biclustering of patients and multi-omics data
New Paper on Machine Learning-Based Tumor Classification
A new study published in Nature Genetics, titled “A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification,” investigates how tumor microenvironmental features influence risk stratification and computational tumor classification in meningioma. The work shows that meningioma risk is better represented as a continuum shaped by the tumor microenvironment,
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New insights into colorectal cancer: How cellular stress reshapes gut microbiota and promotes tumor growth
A recent study, currently available as a preprint, was conducted by an international team of researchers led by Olivia I. Coleman and Adam Sorbie, with contributions from numerous others, including Tim Kacprowski (see complete author list below). It highlights how cellular stress responses in intestinal cells can contribute to the development of colorectal cancer by
New Book Published: Interaction of Natural and Artificial Intelligence: Assessing – Measuring – Evaluating
We are pleased to announce the online publication of the book, “Zusammenwirken von natürlicher und künstlicher Intelligenz: Beurteilen – Messen – Bewerten” (Interaction of Natural and Artificial Intelligence: Assessing – Measuring – Evaluating)! The book addresses interdisciplinary perspectives on how humans and machines can coexist and collaborate in the future. Key topics include medicine and
Zusammenwirken von natürlicher und künstlicher Intelligenz: Beurteilen-Messen-Bewerten
Wie wird das Zusammenleben und -wirken von Menschen und Maschinen zukünftig aussehen? Lassen sich Umfang und Intensität der neuen Synergien bestimmen? Eine wichtige Rolle spielt dabei die Frage, womit wir es beim erweiterten Zusammenwirken mit künstlicher Intelligenz überhaupt zu tun haben. Ansätze, diese begrifflich-theoretisch zu beurteilen, im konkreten Fall messbar zu machen und auch ethisch
Zusammenwirken von natürlicher und künstlicher Intelligenz: Beurteilen-Messen-Bewerten Read Post »