Results 261 to 270 of about 783,181 (348)

DAG-VAERL: a novel causal inference method for building causal gene regulatory networks. [PDF]

BioData Min
Long T, Satyal S, Kuo YF, Gao J.
europepmc   +1 more source

The number of perfect matchings in 3-connected planar graphs [PDF]

Wuxian Chen, Xinyu Dai, Fuliang Lu
openalex   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Evolutionarily conserved hydrophobicity and sterics in TM3/TM4 balance Orai1 pore opening. [PDF]

Protein Sci
Fröhlich M, Radišković T, Hopl V, Prantl M, Najjar H, Harant S, Thallinger D, Anwar MS, Horvath F, Söllner J, Nazarenko Y, Sallinger M, Müller N, Tiffner A, Weiß S, Grabmayr H, Krobath H, Derler I.   +17 more
europepmc   +1 more source

A sufficient condition for the square of a line graph to be perfect [PDF]

Chin A.Y.M., Hamid Reza Maimani, Mohammad Reza Pournaki, S. Yassemi   +3 more
openalex   +1 more source

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source

Risk prediction for individual patients and the pitfalls of selecting an optimal prediction model: do not judge a model by its c-statistic. [PDF]

Eur J Epidemiol
van Dalen JW.
europepmc   +1 more source

Flip dynamics on perfect matchings beyond bipartite and planar graphs [PDF]

Vladimir Bošković
openalex   +1 more source

Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science

Advanced Intelligent Systems, EarlyView.
To address the critical lack of explainable artificial intelligence (XAI) benchmarks in materials science, we present a quantitative and qualitative analysis of six XAI methods applied to molecular fingerprints. Our results reveal significant discrepancies in feature importance rankings, demonstrating that the chosen explanation approach introduces ...
Anna Przybyłowska, Joanna Neubauer, Monika Sztuder, Witold Taisner, Agnieszka Hryniewicka, Julia Kolodziejczyk, Marta Eliza Plonska‐Brzezinska, Dariusz Brzezinski   +7 more
wiley   +1 more source

SigRescueR: a pan-system framework for noise correction and mutational signature identification across sequencing platforms. [PDF]

Brief Bioinform
Nguyen PT, Zhivagui M.
europepmc   +1 more source