Results 201 to 210 of about 60,956 (264)
MycoMobilome: a community-focused non-redundant database of transposable element consensus sequences for the fungal kingdom. [PDF]
Baril T, Croll D.
europepmc +1 more source
Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou +4 more
wiley +1 more source
Assay of Ds2 Transposition Activity in the Maize W22. [PDF]
Kaur H +5 more
europepmc +1 more source
ABSTRACT Rationale Ions trapped within a Penning cell (ICR) travel periodic orbits whose frequencies are dependent on their mass‐to‐charge ratio and the value of the magnetic field passing through the trap. Fourier transformation (FT‐ICR) decomposes the signal induced in the detection circuit by the rotation of the ions in the cell after the ...
Patrick Arpino, Michel Heninger
wiley +1 more source
Haplotype-Resolved Chromatin Conformation Data Reveals Relationship Between Transposable Elements and Chromosomal Pairing. [PDF]
Genutis LK +5 more
europepmc +1 more source
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen +7 more
wiley +1 more source
TEPEAK: A novel method for identifying and characterizing polymorphic transposable elements in non-model species populations. [PDF]
Burke D +4 more
europepmc +1 more source
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman +2 more
wiley +1 more source

