Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
The list distinguishing number equals the distinguishing number for interval graphs
Discussiones Mathematicae Graph Theory, 2017 11 ...
Immel Poppy, Wenger Paul S.
openaire +4 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
ML based Improved Differential Distinguisher with High Accuracy: Application to GIFT-128 and ASCON [PDF]
In recent years, ML based differential distinguishers have been explored and compared with the classical methods. Complexity of a key recovery attack on block ciphers is calculated using the probability of a differential distinguisher provided by ...
Tarun Yadav, Manoj Kumar
core
Distinguisher genes were highly expressed in specific tissue types. [PDF]
, 2018 Gene expression values of the top 20 distinguisher genes for each tissue/cell type are shown in the heat maps at noise levels of 0%, 20%, 40%, and 60% relative standard deviation in panels A to D, respectively. Expression values were normalized from 0 to
Maria I. Zavodszky (4634239) +3 more
core +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
A New Distinguisher for CubeHash-8/b and CubeHash-15/b Compression Functions [PDF]
, 2011 CubeHash is one of the round 2 candidates of the public SHA-3 competition hosted by NIST. It was designed by Bernstein. In this paper we find a new distinguisher to distinguish CubeHash compression function from a random function.
Javad Alizadeh, Abdolrasoul Mirghadri
core
Improve Neural Distinguisher for Cryptanalysis [PDF]
, 2021 At CRYPTO\u2719, Gohr built a bridge between deep learning and cryptanalysis. Based on deep neural networks, he trained neural distinguishers of Speck32/64 using a plaintext difference and single ciphertext pair.
Jiongjiong Ren +2 more
core
Improved integral cryptanalysis of block cipher Zodiac
CybersecurityIntegral cryptanalysis is a pivotal technique in symmetric-key cryptography. This paper enhances the integral key-recovery analysis of the Feistel-based cipher Zodiac by introducing a systematic framework for identifying optimal key recovery attack paths.
Yi Guo +4 more
doaj +1 more source
Multiple differential-zero correlation linear cryptanalysis of reduced-round CAST-256
Journal of Mathematical Cryptology, 2017 CAST-256 (or CAST6) is a symmetric-key block cipher published in June 1998. It was submitted as a candidate for Advanced Encryption Standard (AES). In this paper, we will propose a new chosen text attack, the multiple differential-zero correlation linear
Hadian Dehkordi Massoud +1 more
doaj +1 more source