Results 131 to 140 of about 1,103,393 (348)

Iterative List Detection and Decoding for mMTC [PDF]

open access: green, 2020
Roberto B. Di Renna   +1 more
openalex   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

Study of equivalent point-to-point transmission model for coded relay cooperations

open access: yesTongxin xuebao, 2012
LDPC-coded relay cooperation and its joint iterative decoding based on the bi-layer Tanner graph were investigated.The coded relay cooperation becomed an equivalent and relatively simple point-to-point transmission model by introducing the notation of ...
Qiu-xia ZHANG   +3 more
doaj   +2 more sources

Bounded-Angle Iterative Decoding of LDPC Codes [PDF]

open access: yes
Bounded-angle iterative decoding is a modified version of conventional iterative decoding, conceived as a means of reducing undetected-error rates for short low-density parity-check (LDPC) codes.
Andrews, Kenneth   +3 more
core   +1 more source

Proteogenomic Characterization Reveals Subtype‐Specific Therapeutic Potential for HER2‐Low Breast Cancer

open access: yesAdvanced Science, EarlyView.
Multiomic profiling of HER2‐low breast cancer identifies three proteomic subtypes with distinct therapeutic strategies: endocrine, antiangiogenic, and anti‐HER2 therapies. Genomic and lactate modification landscapes are detailed, providing insights for precise management.
Shouping Xu   +20 more
wiley   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

open access: yesAdvanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang   +8 more
wiley   +1 more source

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

open access: yesAdvanced Science, EarlyView.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang   +10 more
wiley   +1 more source

ITGB1 Regulates Triple‐Negative Breast Cancer Development by Modulating the Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
ABSTRACT Tumorigenesis and metastasis are frequently attributed to the intricate interplay between cancer cells and the tumor microenvironment (TME). Comprehending the mechanisms and key regulators of cancer‐immune crosstalk in the TME is imperative for developing efficacious immunotherapy.
Nuozi Song   +12 more
wiley   +1 more source

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