Results 1 to 10 of about 769 (129)

GCCVision: An integrated toolkit for calculating and visualizing parental genome contribution in breeding populations [PDF]

open access: yesiScience
Summary: Tracking parental genome contributions in segregating populations is crucial for accelerating genetic gain in plant breeding. We introduce GCCVision (Genome Contribution Calculator and Visualizer), an integrated bioinformatics toolkit to ...
Enhui Shen   +4 more
doaj   +2 more sources

Exploitation of Biocomputational Approaches for siRNA-Mediated Gene Silencing of HPV: A Novel Therapeutic Strategy for Cervical Cancer. [PDF]

open access: yesCancer Rep (Hoboken)
ABSTRACT Background With recurrent high‐risk human papillomavirus (HPV) infections, especially HPV16 and HPV18, cervical cancer is the fourth most common disease among women. The functional alterations of the E6 and E7 proteins are essential to the oncogenic process of high‐risk HPVs and cervical cancer development.
Masum MHU   +4 more
europepmc   +2 more sources

Reinforcement learning in densely recurrent biological networks [PDF]

open access: yesiScience
Summary: Training highly recurrent networks is a technical challenge: gradient-based methods suffer from exploding or vanishing gradients, while purely evolutionary searches converge slowly.
Miles Walter Churchland   +1 more
doaj   +2 more sources

See the small lesions: Frequency-guided spatial debiasing GAN for multimodal medical image fusion [PDF]

open access: yesiScience
Summary: Multimodal medical image fusion uses these features from different modalities to generate fused images with richer information for diagnosis. However, in medical images, the lesion area only constitutes a small portion, and feature extraction is
Tao Zhou   +6 more
doaj   +2 more sources

Low-Input Assay for Transposase-Accessible Chromatin Identifies Epigenetic Signatures of Liver Group 1 Innate Lymphoid Cells. [PDF]

open access: yesEur J Immunol
Assessing chromatin accessibility in rare cell populations within tissue remains a key challenge. To address this, we present a low‐input ATAC workflow optimized for liver ILCs. The protocol is validated across cell numbers, Tn5 ratios, and library preparation steps and unveils unique epigenetic features of liver NK cells and ILC1s.
Schmid K, Schenk RP, Wiedemann GM.
europepmc   +2 more sources

Neural network-assisted RNA velocity imputation for empowering transcript dynamics-based analyses [PDF]

open access: yesiScience
Summary: Existing RNA velocity estimation tools often fail to calculate velocities for a substantial portion of genes due to technical limitations or model assumptions, thereby restricting downstream analyses that rely on velocity estimations.
Riku Egami   +4 more
doaj   +2 more sources

Deep learning-enabled high-performance multiphoton fluorescence vascular imaging using clinically approved fluorescent probes [PDF]

open access: yesiScience
Summary: Among various modalities, multiphoton fluorescence imaging (MPFI) stands out for its exceptionally high spatial resolution in deep tissue imaging.
Zhourui Xu   +11 more
doaj   +2 more sources

Database of recurrent mutations, an unbiased web resource to browse recurrent mutations in cancers [PDF]

open access: yesiScience
Summary: Existing cancer-associated variant databases contain biases arising from duplicate entries and the inclusion of targeted sequencing panels, which interfere with accurate estimation somatic mutation frequency in cancer cohorts.
Deepankar Chakroborty   +5 more
doaj   +2 more sources

An efficient framework for protein-protein interaction prediction by integrating stacked denoising autoencoders and random ferns [PDF]

open access: yesiScience
Summary: Protein-protein interactions (PPIs) are crucial for understanding disease and discovering drug targets. To overcome the limitations of experimental methods, we propose SDAERFs, a computational framework that predicts PPIs from protein sequences.
Zheng Wang   +4 more
doaj   +2 more sources

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