Results 211 to 220 of about 91,462 (268)

Detection of Microbial Contaminants in Water: Conventional Methods, Pragmatic Alternatives, and Nanosensing Techniques. [PDF]

Microbiologyopen
Adeeyo AO, Edokpayi JN, Alabi MA, Oyetade JA, Ubomba-Jaswa E, Jaca P, Makungo R.   +6 more
europepmc   +1 more source

Retinal Transcriptomic Signatures in Sudden Acquired Retinal Degeneration Syndrome (SARDS) and Cancer-Associated Retinopathy (CAR). [PDF]

Animals (Basel)
Grozdanic S, Poleksic A, Racic D, Bock D, Lazic T, Kuehn M.   +5 more
europepmc   +1 more source

Tumor-infiltrating lymphocytes display prognostic signatures associated with chemotherapy response in TNBC patients. [PDF]

iScience
Banerjee S, Tiwari VK, Raman K, Inayatullah M.   +3 more
europepmc   +1 more source

Protein microarray-based profiling of salivary IgA antibodies against human proteins in COVID-19 patients with depressive symptoms. [PDF]

Sci Rep
Hikichi Y, Kunieda K.
europepmc   +1 more source

Systems-Level Insights into Bronchopulmonary Dysplasia from Meta-Analysis of Genome- Scale Studies

Happs C, Khanna P, Scoynes C, Muriungi N, Alexander A, Rogers J, Lake E, Pickup M, Parkinson N, Millar J, Baillie JK, Hendry SC.   +11 more
europepmc   +1 more source

Mast Cells in Acute COVID‐19 Patients

Allergy, EarlyView.
Ilan Zaffran, Hadas Pahima, Eli Ben‐Chetrit, Amir Jarjoui, Ilaria Puxeddu, Carl Zinner, Joana Vitte, Alexandar Tzankov, Francesca Levi‐Schaffer   +8 more
wiley   +1 more source

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Pattern Recognition Techniques in Microarray Data Analysis

Annals of the New York Academy of Sciences, 2002
Abstract:Recent development of technologies (e.g., microarray technology) that are capable of producing massive amounts of genetic data has highlighted the need for new pattern recognition techniques that can mine and discoverbiologically meaningfulknowledge in large data sets.
Faramarz Valafar
exaly   +3 more sources