Results 231 to 240 of about 7,010,797 (302)

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Multi-trait selection defines a plant-architecture ideotype for soybean in the Russian Far East. [PDF]

Front Plant Sci
Habib Y, Aseeva T, Shepel O, Potokina E.
europepmc   +1 more source

MRI-Based Knee Morphometry and Pediatric Anterior Cruciate Ligament Injury: A Machine Learning Case-Control Study. [PDF]

J Clin Med
Onder M, Erbas A, Kocaoglu MA, Colak M, Mert M, Kurk MB, Misir A.   +6 more
europepmc   +1 more source

Identification of stable and high-yielding maize genotypes using BLUP-based stability and multi-trait selection indices across diverse environments. [PDF]

Front Plant Sci
Kumar D, Bisen P, Singh VJ, Ragi S, Yadav HK, Nandakumar S, Sonu, Singh A, Dubey S, Kumar Chourasiya V, Pathak SK, Gupta S, Patel T, Kumar A, Prasad S, Hossain F, Vimal SC.   +16 more
europepmc   +1 more source

Development and validation of claims-based algorithms to identify interstitial lung disease among Japanese patients with cancer in routine clinical practice using real-world data sources. [PDF]

Front Oncol
Huang YJ, Takeda T, Shimai Y, Murata T, Sugimoto K, Takeda Y, Hirata H, Yamamoto M, Yoneda M, Minami S, Higashi M, Brnabic AJM, Kadziola Z, Kawaguchi T, Chen Y, Matsumura Y.   +15 more
europepmc   +1 more source

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Mate selection by selection index theory

Theoretical and Applied Genetics, 1980
Mate selection by selection index prediction of total merit in expected progeny is proposed as a rational basis for making recommendations in the choice of a bull to which a cow may be mated. Growth in USA of service programs recommending bulls to particular cows has motivated the need to rationalize mate selection processes.
F R Allaire
exaly   +3 more sources