Results 141 to 150 of about 3,070,839 (358)
The authors analyzed the spatial distributions of gene and metabolite profiles in cervical cancer through spatial transcriptomic and spatially resolved metabolomic techniques. Pivotal genes and metabolites within these cases were then identified and validated.
Lixiu Xu+3 more
wiley +1 more source
Learning Chemical Reaction Representation with Reactant-Product Alignment [PDF]
Organic synthesis stands as a cornerstone of the chemical industry. The development of robust machine learning models to support tasks associated with organic reactions is of significant interest. However, current methods rely on hand-crafted features or direct adaptations of model architectures from other domains, which lack feasibility as data scales
arxiv
Judging Chemical Reaction Practicality From Positive Sample only Learning [PDF]
Chemical reaction practicality is the core task among all symbol intelligence based chemical information processing, for example, it provides indispensable clue for further automatic synthesis route inference. Considering that chemical reactions have been represented in a language form, we propose a new solution to generally judge the practicality of ...
arxiv
The effect of rapid neutral-neutral reactions on chemical models of dense interstellar clouds [PDF]
Eric Herbst+3 more
openalex +1 more source
Supersonic combustor modeling [PDF]
The physical phenomena involved when a supersonic flow undergoes chemical reaction are discussed. Detailed physical models of convective and diffusive mixing, and finite rate chemical reaction in supersonic flow are presented.
Carpenter, Mark H.+2 more
core +1 more source
Analysis of ESR1 mutations in plasma cell‐free DNA (cfDNA) is highly important for the selection of treatment in patients with breast cancer. Using multiplex‐ddPCR and identical blood draws, we investigated whether circulating tumor cells (CTCs) and cfDNA provide similar or complementary information for ESR1 mutations.
Stavroula Smilkou+11 more
wiley +1 more source
Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer
This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu+7 more
wiley +1 more source
Application of Transformers to Chemical Synthesis
Efficient chemical synthesis is critical for the production of organic chemicals, particularly in the pharmaceutical industry. Leveraging machine learning to predict chemical synthesis and improve the development efficiency has become a significant ...
Dong Jin+6 more
doaj +1 more source
Curvature-Induced Saturation in Catalytic Reaction Networks: A Differential Geometrical Framework for Modeling Chemical Complexity [PDF]
The evolution of chemical reaction networks is often analyzed through kinetic models and energy landscapes, but these approaches fail to capture the deeper structural constraints governing complexity growth. In chemical reaction networks, emergent constraints dictate the organization of reaction pathways, limiting combinatorial expansion and ...
arxiv
Reactions of polycyclic alkylaromatics—VI. Detailed chemical kinetic modeling [PDF]
Charlene M. Smith, Phillip E. Savage
openalex +1 more source