Results 251 to 260 of about 515,000 (271)

Correction: Development of amphotericin B inclusion complex formulation in dissolvable microarray patches for intravaginal delivery. [PDF]

Daru
Burhanuddin H, Enggi CK, Tangdilintin F, Saputra RR, Putra PP, Sartini S, Aliyah A, Agustina R, Domínguez-Robles J, Aswad M, Permana AD.   +10 more
europepmc   +1 more source

Development of a prediction model for ctDNA detection (Cir-Predict) in breast cancer. [PDF]

Breast Cancer Res Treat
Nakauchi C, Masunaga N, Kagara N, Oshiro C, Shimoda M, Shimazu K.   +5 more
europepmc   +1 more source

Proteome-wide microarray-based screening of PAR-binding proteins. [PDF]

Nucleic Acids Res
Gu Kang B, Kang SU, Jin Kim J, Kwon JS, Gagné JP, Yun Lee S, Kim S, Lee KS, Ha S, Seop Jeong J, Lee YI, Zhu H, Kim D, Poirier GG, Chul Kang H, Dawson VL, Dawson TM.   +16 more
europepmc   +1 more source

Development of a Microfluidic Viscometer for Non-Newtonian Blood Analog Fluid Analysis. [PDF]

Bioengineering (Basel)
Chang YN, Yao DJ.
europepmc   +1 more source

Responses of rice plant to multiple abiotic stresses revealed by transcriptome meta-analysis and identification of novel genetic factors. [PDF]

Sci Rep
Ahmdikhah A, Safaeizadeh M, Tehranian AS.   +2 more
europepmc   +1 more source

Inferring gene-pathway associations from consolidated transcriptome datasets: an interactive gene network explorer forTetrahymena thermophila

Bertagna MA, Bright LJ, Ye F, Jiang Y, Sarkar D, Pradhan A, Kumar S, Gao S, Turkewitz AP, Tsypin LMZ.   +9 more
europepmc   +1 more source

MUUMI: an R package for statistical and network-based meta-analysis for MUlti-omics data Integration

Inkala S, Fratello M, del Giudice G, Migliaccio G, Serra A, Greco D, Federico A.   +6 more
europepmc   +1 more source

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Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray

Science, 1995
A high-capacity system was developed to monitor the expression of many genes in parallel. Microarrays prepared by high-speed robotic printing of complementary DNAs on glass were used for quantitative expression measurements of the corresponding genes ...
M. Schena, D. Shalon, Ronald W. Davis, P. Brown   +3 more
semanticscholar   +1 more source

Minimum redundancy feature selection from microarray gene expression data

Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003, 2003
Selecting a small subset of genes out of the thousands of genes in microarray data is important for accurate classification of phenotypes. Widely used methods typically rank genes according to their differential expressions among phenotypes and pick the ...
C. Ding, Hanchuan Peng
semanticscholar   +1 more source